Artykuły w czasopismach: „DC Motor based Position Control”

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Sorfina, Ummi, Syed Zahurul Islam, Kok Boon Ching, Dur Muhammad Soomro, and Jabbar Al-Fatta Yahaya. "Adaptive position control of DC motor for brush-based Adaptive position control of DC motor for brush-based." Bulletin of Electrical Engineering and Informatics 12, no. 3 (2023): 1293–301. http://dx.doi.org/10.11591/eei.v12i3.4926.

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In this paper, we have developed an automatic brush-based PV cleaning system to control and synchronize the 3 motors together with a smooth periodic of cleaning while moving it horizontally over the PV surface. The mechanical design involved installing linear guides at the top and bottom of the rail to support the aluminium plate that holds the carrier motors and rotating brush. Two different movements of translational and rotational motion of the motors are managed by an algorithm programmed in Arduino Mega. In investigating the performance of motor parameters and dust removal rate, we conducted an experiment by spreading dry sand over the PV surface. Results showed that the torque of the cleaning brush motor increases with the increase in load. The obtained torque of the carrier motor was found to be 9.167 Nm ( stall torque, 9.8 Nm) with a full load of 18 brushes. The torque is inversely proportional to the speed but directly proportional to power. The required power to move the 2.93 kg of cleaning system was 19.20 W with 3.015 Nm of torque. The system achieved 86.8% of the dust removal rate from the four cycles of cleaning operations.

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Zhu, Yong, Kai Ping Feng, and Yun Fei Wu. "Control System of Sensorless BLDCM Based on F28335." Applied Mechanics and Materials 385-386 (August 2013): 843–47. http://dx.doi.org/10.4028/www.scientific.net/amm.385-386.843.

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Brushless DC motor Sensorless control is the future development trend, Based on TI Companys DSP chip TMS320F28335 type of brushless dc motor without position sensor control system designed in this paper, Its basic structure and working principle are introduced. The position detector of the brushless DC motor use back EMF zero-crossing detection method. The test results show that the system has good dynamic and static characteristics, the reliability of the motor running.

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Fang, Jin Xiang. "Position Sensorless Control of Brushless DC Motor." Advanced Materials Research 915-916 (April 2014): 418–21. http://dx.doi.org/10.4028/www.scientific.net/amr.915-916.418.

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According to the chattering problem in the traditional sliding mode observer of the position sensorless control of brushless DC motor, a novel quasi sliding mode observer for rotor position estimation was proposed, which took the error between the actual and estimated currents as sliding surface and tracked the actual rotor position according to the mathematical relationship of back EMF and speed of the motor. Then the sensorless control system of the brushless DC motor based on the novel sliding mode observer was designed. Simulation results showed that the novel sliding mode control method could improve the rotor position estimation accuracy and effectively suppress the chattering problem to enhance the robustness of system.

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Zhang, Zhi Guang, Wei Hu, Xiao Qiong Li, et al. "Stream Selector’s Control System Based on High-Precision Incremental Encoder." Applied Mechanics and Materials 303-306 (February 2013): 1657–60. http://dx.doi.org/10.4028/www.scientific.net/amm.303-306.1657.

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For the precision rotor position control of stream selector, a control system based on direct current motor (DC motor) has been constructed. The DC motor, with a high-precision incremental encoder used as the driving force, was assembled with the stream selector rotor through a shaft coupling. Following the motor rotation, the encoder generated two-channel quadrature pulses and one channel index pulses. An ultralow-power consumption microcontroller (msp430f2232) received theses pulses and calculated them. The position of the slot was determined by the number of pulses counted from the index pulse. Operator can set and monitored the slot positions of five stream selectors simultaneously through the program which was written with LabVIEW on the host computer. This module featured high reliability and low power consumption compared with the one driven by step motor. Beyond that, it was much smaller and lighter.

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GORMAN, STEVE. "Microprocessor Based Near Minimum Time DC Motor Position Control." Electric Power Components and Systems 32, no. 5 (2004): 505–27. http://dx.doi.org/10.1080/15325000490224201.

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Qiao, Xiang Xin, and Guang Li. "Research on DSP-Based Asynchronous Motor Control Technology." Applied Mechanics and Materials 401-403 (September 2013): 1960–63. http://dx.doi.org/10.4028/www.scientific.net/amm.401-403.1960.

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Motor in a variety of electrical transmission and position servo system occupies an extremely important position. After the DSP technology being applied to the motor control, the unification of the hardware and the flexibility of the software can be combined. Take the brushless DC motor for example, obtained the design scheme of the DSP-based asynchronous motor control system. With its 32 bit fixed point DSPTMS320F2812 as the core design of the hardware system, we wrote the system software, debug the motor control system and the results show that the system achieves the expected effect. The results of the research can be applied to brushless DC motor and other motor control, it will have a wide application prospects.

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Wu, Hong Xing, Zhi Yuang Qi, Ji Gui Zheng, and Shou Ming Zhou. "Back-EMF Position Detection Technology for Brushless DC Motor." Applied Mechanics and Materials 492 (January 2014): 49–55. http://dx.doi.org/10.4028/www.scientific.net/amm.492.49.

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Without position sensor control technology of brushless DC motor has become the focus of many experts and scholars at home and abroad. The article presented research of without speed and position sensor control for brushless DC motor, including brushless DC motor mathematical model, Back-EMF detection principle and starting position detection method, and designed a hardware control system based dedicated digital signal processor (DSP). For experimental study of the system based experimental prototype had shown: this method can achieve no load starting, load starting and load operation of without position sensor brushless DC motor.

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Wang, Xin, and C. Steve Suh. "Precision concurrent speed and position tracking of brushed dc motors using nonlinear time-frequency control." Journal of Vibration and Control 23, no. 19 (2016): 3266–91. http://dx.doi.org/10.1177/1077546316628974.

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Brushed DC motors are essential components in a wide range of applications in which their unique benefits are explored. However, their being inherently nonlinear and sensitive to system based uncertainties such as load variation and process noise has made improving the precision control of brushed DC motors a challenging task. To mitigate such negative effects that invariably undermine motor stability and controllability, a novel wavelet-based nonlinear time-frequency control scheme viable for the concurrent speed and position tracking of brushed DC motors is presented. The control approach has its basis in discrete wavelet transformation and adaptive control. Considering system response in the wavelet domain allows the true dynamics of the system as delineated by both the time and frequency information of the response to be faithfully resolved without being distorted or misinterpreted. By employing adaptive theory, the undesirable features typical of nonlinear brushed DC motor systems such as being highly unstable and energy inefficient are also properly addressed. The validity of the controller design are demonstrated by evaluating its performance and the power requirement against PID control and fuzzy logic control in mitigating the speed, position, and armature voltage responses of a permanent magnet brushed DC motor under severe system uncertainties. The proposed nonlinear controller is shown to be accurate, robust, energy efficient, low in power requirement, and easy to switch between speed and position control.

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Durdu, Akif, and Emre Hasan Dursun. "Sliding Mode Control for Position Tracking of Servo System with a Variable Loaded DC Motor." Elektronika ir Elektrotechnika 25, no. 4 (2019): 8–16. http://dx.doi.org/10.5755/j01.eie.25.4.23964.

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In this paper, the real-time position control of servo system is carried out using sliding mode control (SMC) method based on variable structure control (VSC). As DC Motors are commonly used in many industrial applications and robotics, studies in this paper have are tested on a DC servo system, which is designed and produced by Quanser Inc. Three different types of sliding mode controllers are designed for position control of servo system and, later, performance comparison of DC Motor on Servo system is made. According to results obtained from real-time servo system, it is shown that SMC method is robust against to disturbing effects, variabilities, and uncertainties on the systems. Outstanding part of this paper is that designed controllers are implemented to servo system in real-time with a variable loaded DC Motor. Moreover, this study shows that this control structure can be performed as high performance in the real-time motor control applications.

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Koondhar, Mohsin A., Muhammad U. Keerio, Rameez A. Talani, et al. "Optimal Tuning of Fuzzy Logic Controller Based Speed Control of DC Motor." Quaid-e-Awam University Research Journal of Engineering Science & Technology 19, no. 1 (2021): 77–80. http://dx.doi.org/10.52584/qrj.1901.11.

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Fuzzy logic controller (FLC) has become popular in the speed control application of DC motors with automatic adjustment function. In this article, the performance of a specific FLC controlled DC motor is studied. The exceed speed is observed with a stabilization time, thus confirming the FLC behavior. Therefore, FLC must be set to obtain the required performance by applying appropriate expert rules, the minimum overshoot and installation time can be maintained within the required values. With the help of FLC, the manual adjustment function is gradually eliminated, and the intelligent adjustment function is at the center position, and the performance is satisfactory. FLC DC motor speed control is implemented in MATLAB environment. The results show that the FLC method has the smallest bypass, smallest transient and steady-state error, and shows higher FLC efficiency as compared with other conventional controllers.

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Lee, Youngwoo, and Wonhee Kim. "Nonlinear Position Control with Augmented Observer in Brushless DC Motor." Mathematics 9, no. 20 (2021): 2553. http://dx.doi.org/10.3390/math9202553.

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In this paper, position control using both a nonlinear position controller and a current controller with an augmented observer is proposed for a Brushless DC motor. The nonlinear position controller is designed to improve the position tracking performance based on the tracking error dynamics. The current controller is developed to track the desired currents generated from the desired torque, which is calculated based on the nonlinear position controller. The augmented observer is designed to obtain the knowledge of both state variables and disturbance. Closed-loop stability is proven through the Lyapunov theorem. Simulations were performed to evaluate the effectiveness of the proposed method.

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Awaar, Vinay Kumar, Anjali Nagilla, Sravani Bannuru, Suchitha Veeramaneni, Prasanthi Veerla, and A. Hussien Abbas. "Position sensorless field-oriented control of BLDC motor for EV applications." E3S Web of Conferences 391 (2023): 01176. http://dx.doi.org/10.1051/e3sconf/202339101176.

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A brushless DC motor (known as BLDC) is a permanent magnet synchronous electric motor which is driven by direct current (DC) electricity, and it accomplishes an electronically controlled commutation system instead of a mechanical commutation system. Major of the BLDC applications are based on speed control like motors used in electric vehicles, washing machines, air conditioners, etc. For the speed regulation of BLDC, TMS320F2837xD and TMS320F28069M microcontrollers are used, which belong to the C2000 family. These microcontrollers are used to increase efficiency by reducing the system components and enabling a cost-effective design of intelligent controllers for three-phase motors. With these devices, digital vector control algorithms like field-oriented control (FOC) may be implemented with much more precision. By computing a dynamic model of the motor, the FOC algorithm maintains efficiency across a wide speed range and considers torque variations with transient phases. The ideas include strategies to get rid of the phase current sensors and switch to sensorless speed control with an observer. The proposed model simulations can be achieved using MATLAB simulation tools, Graphical User Interface (GUI) application and Code Composer Studio (CCS).

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Ahn, Hyun-Jin, Kwan-Shik Shim, Young-Cheol Lim, Hae-Kon Nam, Gwang-Heon Kim, and Eui-Sun Kim. "The Position Control of DC Motor using the System Modeling based on the DFT." Transactions of The Korean Institute of Electrical Engineers 61, no. 4 (2012): 542–48. http://dx.doi.org/10.5370/kiee.2012.61.4.542.

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Rohman, Machdiar, and Dede Irawan Saputra. "Modeling and Controlling the Actuator Joint Angle Position on the Robot Arm Base Using Discrete PID Algorithm." Ultima Computing : Jurnal Sistem Komputer 13, no. 2 (2021): 50–56. http://dx.doi.org/10.31937/sk.v13i2.2103.

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DC motor is a motor that is easy to apply. Its application in robotic DC motor control often occurs errors due to the existing load, so that the DC motor becomes inaccurate. The control used is PID (proportional integral differential). This PID control system works by processing calculations based on the control variables Kp, Ki, and Kd to achieve the conditions according to the expected setpoint. To make a DC motor position control device can be controlled with a PID controller. In practice, the variable to be controlled in this research is position control in the form of degrees. With the Arduino Mega controller, the motor driver as a DC motor rotation controller, the DC motor is given feedback in the form of an encoder sensor, the software used is the Arduino IDE. The results showed that PID control can correct errors and transient responses with a time constant value of 1.50 seconds, a rise time of 1.60 seconds, a settling time of 2.30 seconds and a delay time of 1.20 seconds and a peak time of 1.6 seconds and an error value of 0.33% through tuning parameter Kp = 16 Ki = 0.001 Kd = 16.

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M. Venkatesh and G. Raja Rao. "Speed Control of DC Motor Using Intelligent Controllers." November 2020 6, no. 11 (2020): 157–64. http://dx.doi.org/10.46501/ijmtst061130.

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DC Motors are broadly utilized in mechanical applications, home appliances and robot controllers on account of their high unwavering quality, adaptability and low cost, where speed and position control of motor are required. The activity of a DC motor is performed by conventional controllers and intelligent controllers in MATLAB environment. The speed control of a dc motor utilizing conventional controllers (PID, IMC) and intelligent controllers (FLC, ANFIS) in view of MATLAB simulation program. A numerical model of the process has been created utilizing genuine plant information and afterward conventional controllers and intelligent controllers has been planned. The outcome acquired as rise time, settling time. Out of these controllers FUZZY can give a superior outcome. Another intelligent controller like ANFIS Controller was created based on Sugeno type FIS along with PID can give a superior performance like quicker settling time, and its sensitivity to applied load. A relative investigation of execution assessment of all controllers has been finished.

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Yongbing, Li. "SENSORLESS SELF-STARTING AND CONTROL STRATEGY OF RUSHLESS DC MOTOR." EPH - International Journal of Applied Science 4, no. 2 (2018): 1–8. http://dx.doi.org/10.53555/eijas.v4i2.64.

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Brushless DC motor with sensors have problems, such as theirs large sizes, high costs, limited applications and so on.In order to solve them,based on STM32F103 MCU and taking it as the core,this essay uses position sensorless control based on square-wave drive,it realizes the switching of zero speed to the motor closed-loop state through three-step start technique,it checks rotor position and speed by back-EMF method.At last,it makes the motor run normally. The effectiveness and feasibility of the control scheme proposed are verified through experiments.

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Wang, Huarong, and Qiyan Yan. "Research on PID control of electric traction DC motor speed based on MATLAB." Journal of Physics: Conference Series 2387, no. 1 (2022): 012020. http://dx.doi.org/10.1088/1742-6596/2387/1/012020.

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Abstract With the development of science and technology, digital control systems are more widely used, which is more conducive to the development of intelligent power locomotives. In the speed control process of electric traction DC motor, considering the stability, rapidity, accuracy and other requirements of speed control, digital position type PID control strategy is adopted.This study first models the power traction DC motor and analyzes the performance of the system. In order to improve the performance index of the system, a digital PID control strategy is adopted.MATLAB simulation results show that the controller has good speed and stability for the speed control of electric traction DC motor.

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Zhang, Xia, Ren Yun Sun, and Xi Ming Liu. "Design and Simulation of Brushless DC Motor Control System Based on DSP." Applied Mechanics and Materials 109 (October 2011): 395–99. http://dx.doi.org/10.4028/www.scientific.net/amm.109.395.

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Based on the principle of sensorless control of brushless DC motor (BLDC) and combining the characteristics of TMS320LF2407A, this paper mainly researched on the key techniques of position detection and starting for sensorless BLDC. And put forward a sensorless BLDC control system, which combined back-EMF and pre-position start mode. The simulation has shown that the control system meets the requirements of stability and rapidity, and it is able to control motor precisely.

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Wu, Yuanyuan, Zhiquan Deng, Xiaolin Wang, Xing Ling, and Xin Cao. "Position Sensorless Control Based on Coordinate Transformation for Brushless DC Motor Drives." IEEE Transactions on Power Electronics 25, no. 9 (2010): 2365–71. http://dx.doi.org/10.1109/tpel.2010.2048126.

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Al Kouzbary, Mouaz, Noor Azuan Abu Osman, and Ahmad Khairi Abdul Wahab. "Sensorless control system for assistive robotic ankle-foot." International Journal of Advanced Robotic Systems 15, no. 3 (2018): 172988141877585. http://dx.doi.org/10.1177/1729881418775854.

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This article presents a novel sensorless control system of assistive robotic ankle-foot prosthesis, two estimation algorithms were developed and an analogy between them has been made. The system actuator’s motor is a permanent magnet synchronous motor, unlike other powered ankle-foot, where the brushless DC motor and DC motor were used. Utilizing the permanent magnet synchronous motor will reduce the torque ripples and increase system ability to be overloaded compared to systems which utilize the brushless DC motor. Moreover, the ability of the machine to operate in all speed range makes this machine more suitable for the application. Both estimation algorithms are built using C-code and assessed in MATLAB Simulink. The estimation algorithms are used to provide motor and powered ankle-foot’s angular speed and position. Two-level control system is used to evaluate the estimation algorithms; the control system role is to mimic biological ankle-foot performance during normal ground level walking speed. Based on the result of this article the unscented Kalman filter (UKF) is applicable for the application, as a result of the observer ability to estimate the motor load and angular position. On the other hand, extended Kalman filter (EKF) accuracy is affected by the load applied to the motor. Furthermore, the angular position is evaluated by integration of the angular speed which means integration of angular speed estimation error.

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Hu, Ling Yin. "Research on Design of BLDCM Controlling System Based on FPGA." Applied Mechanics and Materials 687-691 (November 2014): 3120–23. http://dx.doi.org/10.4028/www.scientific.net/amm.687-691.3120.

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Brushless dc motor is widely used in high electric field because of its simple structure, large power density, excellent speed regulating performance, and low noise characteristics. This paper describes a brushless DC motor real-time control system based on FPGA. The DC motor is controlled by PWM model and control model which simple the circuit; Calculating the rate of motor by determining the impulse width of n. hall sensor signal; Adopting the soft-core processor embedded in FPGA process increment PID arithmetic control, improve the system real time performance. Experimental results show that the hardware and software are reasonable, owning very good reliability and real time performance. The control system's hardware circuit was designed and implemented such as FPGA periphery circuit, drive circuit, current detecting circuit and so on. And the control arithmetic of current loop, position loop and speed loop were designed and the closed loop control of control system in hardware was achieved.

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Duan, Li Na, and Jin Zhao. "Design of Control System of Brushless DC Motor Based on DSP." Applied Mechanics and Materials 496-500 (January 2014): 1417–21. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.1417.

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The System is at the core of TMS320F2812DSP from TI company to design the control system for BLDC motor, the control segment of it take advantage of the event manager EVA of the DSP to compare and produce six ways signal control.And utilize the capture module to acquire the state situation of the rotor-position sensor.Acording to the condition of hall sensor to control motor commutation.And solve the PWM signal system in the generation and motor speed feedback.It's easy to realize the motor closed-loop control, greatly simplify the system hardware design, improves the reliability of the system, reduces the volume of the system. Through the experiments,we gain the PWM waveform, and finally realize the purpose of reverse control .

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Wang, Xiaoyuan, Xiaoguang Wang, and Tao Fu. "Direct Self-Control Strategy for Axial Flux Ironless Permanent Magnet Synchronous Motors Based on Duty Ratio Control." International Journal of Advanced Pervasive and Ubiquitous Computing 5, no. 3 (2013): 23–37. http://dx.doi.org/10.4018/ijapuc.2013070103.

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Axial Flux Ironless permanent magnetic synchronous motor (AFIPMSM) is a new permanent magnetic motor. It has many advantages, such as high torque-to-weight ratio, good efficiency, no cogging torque, and the sinusoidal back EMF. It gradually becomes the good choice in drive system. However, the small armature winding inductance causes the current is not continued with the PWM control based on VSI, it is a fatal shortcoming of the motor on the control. To solve this problem, a novel automatic control method based on a modified dc-dc converter is used to regulate the current. And the torque control rule is proposed to ensure the tracking of the torque-producing current of the AFIPMSM to the commanded value according to the motor rotor position under all operating conditions. Simulation and experimental results confirm the validity of the proposed control method.

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Li, Deng Hua, Zhan Xian Chen, and Shuang Zhai. "Double Closed-Loop Controller Design of Brushless DC Torque Motor Based on RBF Neural Network." Advanced Materials Research 503-504 (April 2012): 1351–56. http://dx.doi.org/10.4028/www.scientific.net/amr.503-504.1351.

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For the problem of that the traditional brushless DC torque motor controller position servo system is difficult to track accurately the complex and varied location information, an improved double closed-loop controller is designed in this paper. A self-adaptive PID algorithm based on RBF neural network is employed to design position loop controller and a feed-forward control algorithm is used in the speed loop controller. The improved double closed-loop controller validated the feasibility of the new method for the design of brushless DC torque motor position servo system

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Liu, Chun Tong, Yang Zhang, Zhen Xin He, and Bing Li. "Research on Theodolite Auto-Focus Motor Control Technology Based on a Disturbance Observer." Applied Mechanics and Materials 415 (September 2013): 250–55. http://dx.doi.org/10.4028/www.scientific.net/amm.415.250.

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The design of DC servo control system for focus motor is an important part to realize the electronic theodolites auto-focusing. Focus motor is seriously influenced by various disturbances, such as friction and torque fluctuation, in frequently reversing process. It is difficult to accurately locate. To solve these problems, a DC motor control method was put forward which combined the integral separation PID and disturbance observer. Based on the three closed-loop DC servo system, the integral separation PID controller was taken in position loop, in order to eliminate static error and improve the control precision. The methods of motor trajectory planning were analyzed, the 4-5-6-7 interpolation trajectory planning was used to decline or prevent the start-stop impact and oscillation. The effectiveness of the control strategy was verified by comparative simulation experiment. The robustness anti-disturbance and location precision performance is improved significantly.

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Raheem, Raghda Saad, Mohammed Y. Hassan, and Saleem Khalefa Kdahim. "Particle swarm optimization based interval type 2 fuzzy logic control for motor rotor position control of artificial heart pump." Indonesian Journal of Electrical Engineering and Computer Science 25, no. 2 (2022): 814. http://dx.doi.org/10.11591/ijeecs.v25.i2.pp814-824.

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Artificial heart pump (AHP) is employed to replace the native damaged heart and perform its functions. Bearingless brushless DC (BBLDC) motors are used for the implementation of the AHP. BBLDC motor is a highly nonlinear model with uncertainties and its mathematical model is hard to be found accurately. In this paper, BBLDC motor is simulated. Proportional plus integral (PI) controller is proposed to control the rotor suspension current. Furthermore, a type 2 proportional plus integral plus derivative-like fuzzy logic controller (T2 PID-Like FLC) is proposed to control the motor rotor (x, y) positions. Particle swarm optimization (PSO) technique is employed to find the best controller scaling factors and to optimize the controller inputs membership functions distribution within its universe of discourse. Simulation results showed enhancement in levitating the rotor to the required position, when using T2 PID-like FLC as compared with using type 1 PID-like fuzzy logic controller. The enhancement is measured using integral of absolute error (IAE) as a cost function to achieve 64.18% and 81.81% in the x and y axes respectively. The Performance of the motor is enhanced by 20%, which decreases the rotor oscillation and increases the ability to withstand the system disturbances and nonlinearity

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N. Abd, Aula. "Adaptive Inverse Neural Network Based DC Motor Speed and Position Control Using FPGA." DJES 11, no. 3 (2018): 71–78. http://dx.doi.org/10.24237/djes.2018.11311.

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In this research two types of controllers are designed in order to control the speed and position of DC motor. The first one is a conventional PID controller and the other is an intelligent Neural Network (NN) controller that generate a control signal DC motor. Due to nonlinear parameters and movable laborers such saturation and change in load a conventional PID controller is not efficient in such application; therefore neural controller is proposed in order to decreasing the effect of these parameter and improve system performance. The proposed intelligent NN controller is adaptive inverse neural network controller designed and implemented on Field Programmable Gate Array (FPGA) board. This NN is trained by Levenberg-Marquardt back propagation algorithm. After implementation on FPGA, the response appear completely the same as simulation response before implementation that mean the controller based on FPGA is very nigh to software designed controller. The controllers designed by both m-file and Simulink in MATLAB R2012a version 7.14.0.

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Kuo, Yong-Lin, Tsu-Pin Lin, and Chun Yu Wu. "Experimental and Numerical Study on the Semi-Closed Loop Control of a Planar Parallel Robot Manipulator." Mathematical Problems in Engineering 2014 (2014): 1–9. http://dx.doi.org/10.1155/2014/769038.

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This paper implements the model predictive control to fulfill the position control of a 3-DOF 3-RRRplanar parallel manipulator. The research work covers experimental and numerical studies. First, an experimental hardware-in-the-loop system to control the manipulator is constructed. The manipulator is driven by three DC motors, and each motor has an encoder to measure the rotating angles of the motors. The entire system is designed as a semiclosed-loop control system. The controller receives the encoder signals as inputs to produce signals driving the motors. Secondly, the motor parameters are obtained by system identification, and the controllers are designed based on these parameters. Finally, the numerical simulations are performed by incorporating the manipulator kinematics and the motor dynamics; the results are compared with those from the experiments. Both results show that they are in good agreement at steady state. There are two main contributions in this paper. One is the application of the model predictive control to the planar parallel manipulator, and the other one is to overcome the effects of the uncertainties of the DC motors and the performance of the position control due to the dynamic behavior of the manipulator.

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Mulyadi, Adi, Muhammad Zainal Rois, Bambang Sri Kaloko, Riska Fita Lestari, R. B. Moch Gozali, and Suprihadi Prasetyono. "Analisis Efisiensi Kinerja Motor BLDC Menggunakan Metode Kontrol Sliding Mode Observer PI." Jurnal Arus Elektro Indonesia 8, no. 3 (2022): 86. http://dx.doi.org/10.19184/jaei.v8i3.34998.

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Brushless DC (BLDC) motors are widely used and applied in industry but it is difficult to control BLDC motors. Basically, a Brusless DC (BLDC) motor or also known as a permanent magnet synchronous motor (PMSM) uses a hall sensor to determine the position and speed of the motor. The data on the value of the BLDC rotor speed (rpm) in the basic modeling of the BLDC motor as input from the sliding mode observer (SMO) method which is set in the BLDC rotor speed (rpm) set point. A sensorless method based on SMO is proposed to replace the hall-sensor device for estimating the rotor position and speed of BLDC motors. This study compares the value between the rotor speed (rpm) of BLDC without control and the rotor speed (rpm) of BLDC with control. PI control is one that determines the rotor speed efficiency of the BLDC. The most optimal value of Rotor Rotation Efficiency (rpm) using PI Control is at the rotor rotation speed of 2000 rpm and 2500 rpm or 100%. The value of Rotor Rotation efficiency (rpm) is greater, namely 100% or 2000 rpm from the 2000 rpm rotation speed set point for BLDC motor modeling using PI control when compared to BLDC motor modeling without PI control, namely 91.65% or 1833 rmp value from set point rotation speed 2500 rpm.

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Zhan, Gui Yin. "Designed Controller of Permanent Magnet Brushless DC Motor Based on DSP." Applied Mechanics and Materials 672-674 (October 2014): 1210–13. http://dx.doi.org/10.4028/www.scientific.net/amm.672-674.1210.

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A design scheme of the control system was put forward to solve the performance control problems of the motor in this paper, combining with the composition and working principle of permanent magnet brushless DC motor. Hardware circuit of the control system was designed with digital signal processor (DSP) as the core, which mainly consists of the power drive circuit, the motor position, speed detection circuit and winding current detection circuit. Software flow of the control system was also designed, and software program debugging was achieved on CCS3.3 DSP integrated development environment, and the rationality of the software program was validated.

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Hemalatha, N., and S. Nageswari. "A New Approach of Position Sensorless Control for Brushless DC Motor." Current Signal Transduction Therapy 15, no. 1 (2020): 65–76. http://dx.doi.org/10.2174/1574362413666180713092948.

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Background: Position sensorless control technique for Permanent Magnets-Brush Less Direct Current (PM-BLDC) motor drive is considered in this paper. Materials and Methods: A new estimation based on sensorless technique is proposed for PMBLDC motor. Artificial Neural Network (ANN) is aided for the purpose. Results: The inputs to the ANN are the voltages of PM-BLDC motor and it estimates the sample signals to feed Zero Crossing Point (ZCP) detection circuit. The ZCP detection circuit provides ZCP signals for commutation logic which gives the commutation sequence to power switches. In order to provide the correct sample signal to ZCP detection circuit, the ANN is well trained by Genetic Algorithm (GA). The proposed sensor less control model is implemented in MATLAB/SIMULINK working platform. Conclusion: Field Programmable Gate Array (FPGA) is used to implement the proposed method. Experimental results verify the analysis and demonstrate the advantages of the proposed method.

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LI, H. Z., Z. GONG, W. LIN, T. Y. JIANG, and X. Q. CHEN. "DSP-BASED MOTION CONTROL OF A NON-COMMUTATED DC LINEAR MOTOR MODULE." International Journal of Software Engineering and Knowledge Engineering 15, no. 02 (2005): 313–18. http://dx.doi.org/10.1142/s0218194005002063.

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This paper presents the development of a digital signal processor (DSP) based motion controller for a linear servo motor system. The linear motor system employs a moving magnet non-commutated DC linear servo motor as the actuator, and a linear variable differential transformer (LVDT) as the position feedback transducer. It is ideal for short stroke, high accuracy and high speed closed loop servo applications. The controller hardware is based on a TI TMS320LF2407A DSP. The system architecture and motion control strategies are presented. An index motion is implemented using this system. The experimental results with discussions are also given.

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Al-Faiz, Mohammed Z., and Ahmed A. Oglah. "Identification of Position DC Motor and Control Using Fuzzy Type 2 Based PSO." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 11, no. 1 (2013): 2197–206. http://dx.doi.org/10.24297/ijct.v11i1.1191.

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This paper presents identification of a position DC motor using least squares analysis to estimate the parameters of an ARX model .Type-2 fuzzy logic controllers is proposed as an alternative solution in the literature when a system has a large amount of uncertainties. This paper proposed an algorithm of interval fuzzy type 2 logic controller(PSOIT2FLC)with the optimized parameters using particle swarm optimization in the design of fuzzy controller for the position control of DC Motor. The performance of the proposed PSOIT2FLC is compared with that of its corresponding conventional PSO algorithm type -1 FLC in terms of several performance measures such as rise time, peak overshoot, settling time, integral absolute error (IAE) and integral of time multiplied absolute error (ITAE) and in each case, the proposed scheme shows improved performance over its conventional counterpart. . Extensive simulation studies are conducted to compare the response of the given system with the conventiona genetic algorithm type -1 fuzzy controller to the response given with the proposed PSOIT2FLC scheme. Simulation works in MATLAB environment demonstrate that the PSO optimized fuzzy position controller became very strong, gives better results and possesses good robustness.

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Yen, V., D. Y. Liu, and T. Z. Liu. "Neural-network-based near-time-optimal position control method for DC motor servosystems." IEE Proceedings - Control Theory and Applications 142, no. 5 (1995): 493–500. http://dx.doi.org/10.1049/ip-cta:19952021.

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Mosconi, Denis, Maira Martins Silva, and Adriano Almeida Gonçalves Siqueira. "Optimal tuning of a proportional controller for DC motor position control via Fibonacci Search Method." Journal of Mechatronics Engineering 4, no. 1 (2021): 12–21. http://dx.doi.org/10.21439/jme.v4i1.88.

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One of the advantages of using DC motors is the ease of controlling their position and speed by manipulating the input voltage. To this, feedback PID-based controllers can be used. However, adjusting these controllers can be challenging and require some reasonable effort from the controller designer. This work proposes an algorithm based on the Fibonacci Search Method to determine the optimal gain of a proportional controller applied to the position control of a DC motor. The project specifications were minimum settling time with null overshoot. The results obtained showed that the proposed method is valid for determining the Kp gain according to the plant and the conditions involved. The proposed method was compared with other optimization techniques such as Golden Section, Quasi-Newton and Grey Wolf Optimization, standing out for its simplicity of implementation, low number of iterations and fast convergence.

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Zhang, He, Liang Ge, Mingjiang Shi, and Qing Yang. "Research of Compound Control for DC Motor System Based on Global Sliding Mode Disturbance Observer." Mathematical Problems in Engineering 2014 (2014): 1–7. http://dx.doi.org/10.1155/2014/759147.

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Aiming at the problems of modeling errors, parameter variations, and load moment disturbances in DC motor control system, one global sliding mode disturbance observer (GSMDO) is proposed based on the global sliding mode (GSM) control theory. The output of GSMDO is used as the disturbance compensation in control system, which can improve the robust performance of DC motor control system. Based on the designed GSMDO in inner loop, one compound controller, composed of a feedback controller and a feedforward controller, is proposed in order to realize the position tracking of DC motor system. The gains of feedback controller are obtained by means of linear quadratic regulator (LQR) optimal control theory. Simulation results present that the proposed control scheme possesses better tracking properties and stronger robustness against modeling errors, parameter variations, and friction moment disturbances. Moreover, its structure is simple; therefore it is easy to be implemented in engineering.

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Huang, Hai Ming, Zuo Jiang Zhang, and Wu Sheng Chou. "Analysis and Restraining of Electro-Magnetic Interference for Thyristor Based DC Motor Drives." Applied Mechanics and Materials 364 (August 2013): 309–13. http://dx.doi.org/10.4028/www.scientific.net/amm.364.309.

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A high-power DC motor drive with low electromagnetic interference (EMI) is needed for the nondestructive testing (NDT) robot in the nuclear industry environment. This paper focuses on the test and analysis of EMI for thyristor based DC motor control system, which can work in four quadrants to drive the NDT robot. The experimental tests of EMI are conducted with different factors, such as position, power supply mode, inductance of the smoothing reactor, motor load, and so on. The methods to restrain the EMI are researched and applied in the system. The experiments demonstrate that EMI of the DC motor drive is lower compared with the motor drive using PWM mode, and the drive can fully meet the need of the NDT robot.

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Yao, Guozhong, Jiayu Feng, Guiyong Wang, and Shaojun Han. "BLDC Motors Sensorless Control Based on MLP Topology Neural Network." Energies 16, no. 10 (2023): 4027. http://dx.doi.org/10.3390/en16104027.

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In order to reduce the complexity of the brushless DC motor (BLDC)-control-system algorithm while improving the estimation performance of the rotor phase position and the speed of the sensorless motor, a neural network (ANN) control algorithm based on multi-layer perceptron (MLP) topology is proposed. The phase voltage of the motor is conditioned to obtain the phase-voltage signal with a high signal-to-noise ratio, which is used as the input eigenvalue of the multi-layer-perceptron-topology neural network algorithm. The encoder signal is used as the training test data of the MLP-ANN. The first layer of the perceptual neural network estimates the position according to the voltage characteristics with incremental time characteristics. The second layer of the perceptual neural network estimates the speed according to the collected time characteristics and the characteristics of rotor position error. The algorithm after learning and training is digitally discretized and integrated into the motor control system. Experimental tests were carried out under no-load, speed step and load mutation conditions. The experimental results show that the algorithm can accurately estimate the rotor position and speed. The absolute error of the rotor position is within 0.02 rad, and the absolute error of the rotor speed is within 4 rpm. The control system with strong robustness has good dynamic and static characteristics.

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Gao, Jie, Chengqiang Yin, and Chao Jiang. "Research on clutch position control based on backstepping method for small-sized tractors." Science Progress 106, no. 2 (2023): 003685042311726. http://dx.doi.org/10.1177/00368504231172602.

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Tractors installed automated manual transmission can avoid discomfort for the drivers because of excessive limbs intervention as well as improve shift quality. Automatic clutch control is critical for the performance of the automated manual transmissions. For a good operation, precise and fast control of clutch position is mandatory. In order to meet these requirements, an enhanced strategy focused on the clutch is presented adopting a simple tracking control method based on the detailed models in this study. Clutch models including DC motor model and mechanical actuator model are established and transformed to a controllable model. On the basis of the control model, a clutch position tracking control scheme is proposed composed of motor control circuit and motor angle tracking controller designed according to the backstepping method. Simulations are carried out in comparation with the internal model control method, and the results demonstrate the effectiveness of the presented control scheme by superior rapidity and accuracy of the controller response for the clutch position tracking system.

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Wan Rasyiqah Wan Hairuddin and N. M. Yahya. "A Mathematical Model of Geared DC Motor Based of Overhead Crane Control System Prototype." Malaysian Journal of Applied Sciences 7, no. 1 (2022): 44–51. http://dx.doi.org/10.37231/myjas.2022.7.1.299.

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Overhead crane system is largely used in the heavy industries as the main part of material handling mechanism. The overhead crane operated by the electric motor and its controller shall fulfill two major requirements which are fast response as well as accurate positioning during moving the goods from one location to another location. However, to simulate the real overhead crane system is tedious and time consuming due to the large structure and safety reasons. Thus, this project will try to simulate the performance of the prototype version of the overhead crane system that has been predicted to perform like the original one but in a small scale. In order to simulate that, a mathematical model of the geared DC motor-based of overhead crane control system prototype shall be formulated. The mathematical model is developed and tested by using Matlab/Simulink software. The mathematical model is being tested in two conditions, without controller and with controller. To acquire the gain value of the controller, first method of the Ziegler-Nichols method is applied. The developed model will be verified for various positions and loads. The performance of the model will be measure in terms of the time response which are rise time, peak time, percentage overshoot, and settling time as well as the steady-state error for the position accuracy. The results will confirm that a good mathematical model will give the best projection to imitate the performance of the real size of the overhead crane. Keywords: Geared DC motor, overhead crane system, first method of Ziegler-Nichols, time respond, position accuracy

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Truong, Le Phuong, Huan Liang Tsai Liang Tsai, and Huynh Cao Tuan. "DEVELOPMENT OF DIRECTIONAL ALGORITHM FOR THREE-WHEEL OMNIDIRECTIONAL AUTONOMOUS MOBILE ROBOT." Vietnam Journal of Science and Technology 59, no. 3 (2021): 345. http://dx.doi.org/10.15625/2525-2518/59/3/15583.

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A The proposed system developed an omnidirectional algorithm to control autonomous mobile robots with three wheels. The implementation system consists of three Planet DC motors with rated power of 80 W for three wheels, three encoders for speed feedback, one encoder for distance feedback, and one digital compass sensor for angle feedback. The main system with an STM32F407 microcontroller is designed for directional control of wheels based the signal received from compass sensor and encoder and then controls three subsystems to adjust the steering speed of each wheel. The sub-system is built to control only one DC motor for each wheel with the built-in proportional integral derivative controller (PID) algorithm by an STM32F103 microcontroller. Furthermore, the directional control algorithm is developed for three omnidirectional wheels and a PID algorithm is designed to control the speed of DC motor for each wheel. From the results the proposed system has the advantages: (1) to auto adjust the angle and position; (2) to erase the sensor for tracking line of the automobile robot; (3) cost-effectiveness and high accuracy

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Yang, Jingxian. "Compound Controller for DC Motor Servo System Based on Inner-Loop Extended State Observer." Cybernetics and Information Technologies 16, no. 5 (2016): 137–45. http://dx.doi.org/10.1515/cait-2016-0060.

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Abstract As DC motor servo systems are more and more widely applied in the manufacturing industry and aerospace domain, the requirements on control performance are increased by the complicated various working environments. With regard to the uncertainties including modeling error, parameter variations and external disturbances in DC motor servo system, one Nonlinear Extended Disturbance Observer (NESO) is constructed, and its output will be used as the design reference of disturbance compensation term in control system. Based on the as-built NESO in inner loop, one outer-loop compound controller by means of state-space design method is proposed in order to realize the high-precision position tracking ability of the servo system. Computer simulation results show that compared with conventional control schemes, the proposed control scheme can guarantee fewer tracking errors of DC motor servo system. Moreover, it possesses stronger robustness against system uncertainties including modeling error, parameter variations and friction moment disturbance.

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Zhao, Wei Ping, Zhan Shuang Hu, and Ming Yang. "The Study of DC Motor Position Controller Parameter Setting and Simulation." Advanced Materials Research 748 (August 2013): 797–800. http://dx.doi.org/10.4028/www.scientific.net/amr.748.797.

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Classic setting method not only process trival, but also can't ensure that the controller you get is optimal. In order to obtain satisfactory system performance, in this paper, In this paper, the genetic algorithm is introduced to the dc motor optimal position tracking system control problem. By using it to global optimization of the controller parameters, and setting the current, speed and position controller parameters. The simulation results: PID controller designed by using genetic algorithm can make the response of control system tracking faster and no overshoot,make sure that the system control effect based on the stability and improve the system performance and achieve the actual process requirements. The simulation results verify that the proposed method is effectiveness.

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García-Martínez, José R., Edson E. Cruz-Miguel, Roberto V. Carrillo-Serrano, Fortino Mendoza-Mondragón, Manuel Toledano-Ayala, and Juvenal Rodríguez-Reséndiz. "A PID-Type Fuzzy Logic Controller-Based Approach for Motion Control Applications." Sensors 20, no. 18 (2020): 5323. http://dx.doi.org/10.3390/s20185323.

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Motion control is widely used in industrial applications since machinery, robots, conveyor bands use smooth movements in order to reach a desired position decreasing the steady error and energy consumption. In this paper, a new Proportional-Integral-Derivative (PID) -type fuzzy logic controller (FLC) tuning strategy that is based on direct fuzzy relations is proposed in order to compute the PID constants. The motion control algorithm is composed by PID-type FLC and S-curve velocity profile, which is developed in C/C++ programming language; therefore, a license is not required to reproduce the code among embedded systems. The self-tuning controller is carried out online, it depends on error and change in error to adapt according to the system variations. The experimental results were obtained in a linear platform integrated by a direct current (DC) motor connected to an encoder to measure the position. The shaft of the motor is connected to an endless screw; a cart is placed on the screw to control its position. The rise time, overshoot, and settling time values measured in the experimentation are 0.124 s, 8.985% and 0.248 s, respectively. These results presented in part 6 demonstrate the performance of the controller, since the rise time and settling time are improved according to the state of the art. Besides, these parameters are compared with different control architectures reported in the literature. This comparison is made after applying a step input signal to the DC motor.

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Vivek, A., and Ramani Kalpathi. "Switched Reluctance Motor Actuator Based on Current Source Converter for Automotive Throttle Control." Applied Mechanics and Materials 787 (August 2015): 854–58. http://dx.doi.org/10.4028/www.scientific.net/amm.787.854.

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In this paper Switched reluctance motors are proposed for high temperature automotive applications due to the absence of magnets in comparison to conventional DC or brushless DC motors. The improvement in converter efficiency by the use of a current source converter in the front end simplifies the current control strategy that is otherwise required to be implemented in each phase coil winding. The analysis of the converter will be supported with simulation and the results for converter efficiency will be calculated. The proposed strategy will be suitable for implementation using a microcontroller based control mechanism for position control in an automotive application such as throttle control.

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Niembro-Ceceña, José A., Roberto A. Gómez-Loenzo, Juvenal Rodríguez-Reséndiz, Omar Rodríguez-Abreo, and Ákos Odry. "Auto-Regression Model-Based Off-Line PID Controller Tuning: An Adaptive Strategy for DC Motor Control." Micromachines 13, no. 8 (2022): 1264. http://dx.doi.org/10.3390/mi13081264.

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Brushed (B) and Brushless (BL) DC motors constitute the cornerstone of mechatronic systems regardless their sizes (including miniaturized), in which both position and speed control tasks require the application of sophisticated algorithms. This manuscript addresses the initial step using time series analysis to forecast Back EMF values, thereby enabling the elaboration of real-time adaptive fine-tuning strategies for PID controllers in such a control system design problem. An Auto-Regressive Moving Average (ARMA) model is developed to estimate the DC motor parameter, which evolves in time due to the system’s imperfection (i.e., unpredictable duty cycle) and influences the closed-loop performance. The methodology is executed offline; thus, it highlights the applicability of collected BDC motor measurements in time series analysis. The proposed method updates the PID controller gains based on the Simulink ™ controller tuning toolbox. The contribution of this approach is shown in a comparative study that indicates an opportunity to use time series analysis to forecast DC motor parameters, to re-tune PID controller gains, and to obtain similar performance under the same perturbation conditions. The research demonstrates the practical applicability of the proposed method for fine-tuning/re-tuning controllers in real-time. The results show the inclusion of the time series analysis to recalculate controller gains as an alternative for adaptive control.

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Tanie, Kazuo, Kazuhito Yokoi, and Makoto Kaneko. "A Position Sensor Based Torque Control Method for a DC Motor With Reduction Gears." Journal of Robotics and Mechatronics 1, no. 1 (1989): 29–33. http://dx.doi.org/10.20965/jrm.1989.p0029.

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Qian, X., Y. Wang та M. L. Ni. "Robust position control of linear brushless DC motor drive sytstem based on μ-synthesis". IEE Proceedings - Electric Power Applications 152, № 2 (2005): 341. http://dx.doi.org/10.1049/ip-epa:20055070.

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Wang, Lu, Yong Cheng, and Wei Yin. "A Sage–Husa Prediction Algorithm-Based Approach for Correcting the Hall Sensor Position in DC Brushless Motors." Sensors 23, no. 14 (2023): 6604. http://dx.doi.org/10.3390/s23146604.

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Accurate knowledge of the rotor position is essential for the control of brushless DC motors (BLDCM). Any deviation in this identification can cause fluctuations in motor current and torque, increase noise, and lead to reduced motor efficiency. This paper focused on a BLDCM equipped with a three-phase binary Hall sensor. Based on the principle of minimum deviation, this paper estimated the relative installation offset between the Hall sensors. It also provided a clear method for ideal phase commutation position recognition and eliminated the Hall sensor installation position deviation. The proposed pre-calibration method identified and eliminated the offset of the permanent magnet poles, the delay time caused by the Hall signal conditioning circuit, and the offset of the sensor signal identification due to armature response under different loads. Based on the pre-calibration results, a correction strategy for correcting the rotor position information of BLDCMs was proposed. This paper presented a self-adaptive position information prediction algorithm based on the Sage–Husa method. This filters out rotor position information deviations that are not eliminated in pre-calibration. Experimental results on a hydrogen circulation pump motor showed that, after the pre-calibration method was adopted, the Mean Square Error (MSE) of motor speed fluctuations decreased by 92.0%, motor vibration was significantly reduced, average phase current decreased by 62.8%, and the efficiency of the hydrogen circulation pump system was significantly improved. Compared to the traditional KF prediction algorithm, the Sage–Husa adaptive position information prediction algorithm reduced the speed fluctuation during the uniform speed operation stage and speed adjustment stage, the speed curve overshoot, and the commutation time deviation throughout the process by 44.8%, 56.0%, 54.9%, and 14.7%, respectively. This indicates a higher disturbance rejection ability and a more accurate and stable prediction of the commutation moment.

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Wang, Song Lin, and Shun Yi Xie. "Position Sensorless DTC of BLDC Motor Driver Based on Sliding Mode Observer." Advanced Materials Research 805-806 (September 2013): 954–57. http://dx.doi.org/10.4028/www.scientific.net/amr.805-806.954.

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Direct torque control (DTC) which replaces the conventional current loop with torque loop can directly control the electromagnetic torque in order to reduce the torque error within the hysteresis bandwidth, and it can attenuated commutation torque ripple and the torque ripple of brushless DC (BLDC) motor with un-ideal back electromotive force (EMF) waveforms. Further, the key issue of feedback torque calculation in torque loop is the estimation of back-EMF in sensorless DTC of BLDC motor. So a sliding mode observer (SMO) is employed to estimate the back-EMF in real time. The torque and rotor speed can be derived from the estimated back-EMF. Simulation results demonstrate the proposed method is valid and effective.

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