Journal articles on the topic 'Motor control'

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1

Lahase, Mahesh, Ashish Gupta, and Pradip Maske. "Agricultural Motor Control and Monitoring." International Journal of Trend in Scientific Research and Development Volume-2, Issue-3 (April 30, 2018): 398–400. http://dx.doi.org/10.31142/ijtsrd10882.

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2

Nurdamayanti, Nurdamayanti, Linda Sartika, and Abdul Muis Prasetia. "BRUSHLESS DIRECT CURRENT (BLDC) MOTOR SPEED CONTROL USING FIELD ORIENTED CONTROL (FOC) METHOD." Jurnal Edukasi Elektro 6, no. 2 (November 30, 2022): 143–48. http://dx.doi.org/10.21831/jee.v6i2.52234.

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ABSTRACTBrushless DC motors or commonly known as BLDC motors are starting to be widely used in the automotive and industrial fields compared to three-phase induction motors. This is because the advantages of BLDC motors are high efficiency, large torque, and easy maintenance. Some drive systems that use BLDC motors require a constant motor speed. However, when the drive system is given more load, the speed will decrease. Therefore, we need a motor speed regulation so that the speed becomes constant even though it is given an overload. There are many ways to adjust the speed of a BLDC motor, one of which is using the Field Oriented Control method because it can adjust the field current and armature current separately. From the simulation results, the speed of the BLDC motor using the FOC method in the loaded condition, showed a better response by producing a steady state of 1494 rpm, a rise time of 0.5192 s, a settling time of 0.6362 s while not being given a load, a steady state of 1504 rpm and, a rise time of 0.533 s and a settling time of 0.64 s.ABSTRAKMotor Brushless DC atau biasa dikenal dengan motor BLDC mulai banyak digunakan pada bidang otomotif dan industri dibandingkan dengan motor induksi tiga fasa. Hal ini disebabkan karena kelebihan dari motor BLDC adalah memiliki efisiensi tinggi, torsi yang besar, dan perawatan mudah. Beberapa sistem penggerak yang menggunakan motor BLDC membutuhkan kecepatan motor yang konstan. Akan tetapi sistem penggerak tersebut ketika diberi beban lebih maka kecepatan akan menurun. Oleh karena itu dibutuhkan suatu pengaturan kecepatan motor agar kecepatan menjadi konstan walaupun diberi beban lebih. Banyak cara untuk mengatur kecepatan motor BLDC salah satunya adalah menggunakan metode Field Oriented Control karena dapat mengatur antara arus medan dan arus jangkar secara terpisah. Dari hasil simulasi didapatkan kecepatan motor BLDC menggunakan metode FOC pada kondisi berbeban, menunjukkan respon yang lebih baik dengan menghasilkan steady state yaitu 1494 rpm, rise time 0.5192 s, settling time 0.6362 s sedangkan tidak diberi beban didapatkan steady state sebesar 1504 rpm dan, rise time sebesar 0,533 s dan settling time sebesar 0,64 s.
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3

Donner, Amy. "Motor control." Nature Chemical Biology 8, no. 6 (May 17, 2012): 503. http://dx.doi.org/10.1038/nchembio.977.

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4

Hoffman, Mark A. "Motor Control." Athletic Therapy Today 6, no. 4 (July 2001): 30–31. http://dx.doi.org/10.1123/att.6.4.30.

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5

Hu, J. S., and Z. Y. Zhou. "Research on multi-motor coordinated control under load disturbance." Journal of Physics: Conference Series 2296, no. 1 (June 1, 2022): 012002. http://dx.doi.org/10.1088/1742-6596/2296/1/012002.

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Abstract With the iterative development of industrialization and automation, more and more mechanical and electrical equipment rely on the joint operation of multiple motors, and the efficient operation of mechanical and electrical equipment benefits from the reliable cooperative control of multiple motors. Therefore, to ensure the stability of multi-motor coordination control and improve the precision of multi-motor coordination control has important practical significance. In this paper, the multi-motor master-slave controls structure and ring-coupling control structure with random disturbance are simulated and analyzed, and it is verified that the annular coupling control structure has stronger anti-interference ability and higher control accuracy under random load disturbance in the case of four-motor coordinated control.
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6

Singh, Yaduvir, Darshan Singh, and Dalveer Kaur. "Performance Comparison of PI and Fuzzy-PI Logic Speed Control of Induction Motor." INTERNATIONAL JOURNAL OF COMPUTERS & TECHNOLOGY 6, no. 3 (March 5, 2013): 400–413. http://dx.doi.org/10.24297/ijct.v6i3.4464.

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Single-phase induction motors are also used extensively for smaller loads. Speed control of induction motor has beenimplemented using PI (Proportional-Integral) controller and Fuzzy PI controller in Simulink MATLAB. The results showthat induction motor Fuzzy-PI speed control method results in a quicker response with no overshoot than the conventional PI controller. The settling time of induction motor Fuzzy-PI speed is better than the conventional PI controller. The integral time of weighted absolute error (ITEA) performance criteria also shows that the induction motor Fuzzy-PI speed control has better performance. Moreover, the induction motor Fuzzy-PI speed control has a strong ability to adapt to the significant change of system parameters.
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7

Tran, Van Тruc, and Anatoly M. Korikov. "Adaptive sliding mode control for brushless motor." Proceedings of Tomsk State University of Control Systems and Radioelectronics 27, no. 1 (2024): 72–78. http://dx.doi.org/10.21293/1818-0442-2024-27-1-72-78.

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Brushless DC motors offer many advantages over brushed DC motors. In this article, based on the constructed kinematic model of a brushless motor, a classical sliding mode of motor control is synthesized. A study of the sliding mode of motor control was carried out in the Matlab Simulink software environment and the shortcomings of the classical sliding controller were established. To eliminate these shortcomings, an adaptive sliding controller has been synthesized, consisting of a classical sliding controller and a PI controller. Simulation in the Matlab Simulink software environment proves the efficiency of a synthesized adaptive sliding controller that controls a brushless motor in an environment of noise and disturbances.
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8

Soliman, Hamdy Mohamed. "Performance Characteristics of Induction Motor with Field Oriented Control Compared to Direct Torque Control." International Journal of Power Electronics and Drive Systems (IJPEDS) 7, no. 4 (December 1, 2016): 1125. http://dx.doi.org/10.11591/ijpeds.v7.i4.pp1125-1133.

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With development of power electronics and control Theories, the AC motor control becomes easier. So the AC motors are used instead of the DC motor in the drive applications. With this development, a several methods of control are invented. The field oriented control and direct torque control are from the best methods to control the drive systems. This paper is compared between the field oriented control and direct torque control to show the advantages and disadvantages of these methods of controls. This study discussed the effects of these methods of control on the total harmonic distortion of the current and torque ripples. This occurs through study the performance characteristics of the AC motor. The motor used in this study is an induction motor. This study is simulated through the MATLAB program.
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9

Krishna1, P. Mohan. "Analysis of Closed Loop Current Controlled BLDC Motor Drive." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 06 (June 11, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem35689.

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Brushless direct current (BLDC) motors are mostly preferred for dynamic applications such as automotive industries, pumping industries, and rolling industries. It is predicted that by 2030, BLDC motors will become mainstream of power transmission in industries replacing traditional induction motors. Though the BLDC motors are gaining interest in industrial and commercial applications, the future of BLDC motors faces indispensable concerns and open research challenges. Considering the case of reliability and durability, the BLDC motor fails to yield improved fault tolerance capability, reduced electromagnetic interference, reduced acoustic noise, reduced flux ripple, and reduced torque ripple. To address these issues, closed-loop vector control is a promising methodology for BLDC motors. In the literature survey of the past five years, limited surveys were conducted on BLDC motor controllers and designing. Moreover, vital problems such as comparison between existing vector control schemes, fault tolerance control improvement, reduction in electromagnetic interference in BLDC motor controller, and other issues are not addressed. This encourages the author in conducting this survey of addressing the critical challenges of BLDC motors. Furthermore, comprehensive study on various advanced controls of BLDC motors such as fault tolerance control, Electromagnetic interference reduction, field orientation control (FOC), direct torque control (DTC), current shaping, input voltage control, intelligent control, drive-inverter topology, and its principle of operation in reducing torque ripples are discussed in detail. This paper also discusses BLDC motor history, types of BLDC motor, BLDC motor structure, Mathematical modeling of BLDC and BLDC motor standards for various applications. Key Words: Brushless direct current, industries, direct torque control.
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10

Nguyen Trong, Thang. "The Control Structure for DC Motor based on the Flatness Control." International Journal of Power Electronics and Drive Systems (IJPEDS) 8, no. 4 (December 1, 2017): 1814. http://dx.doi.org/10.11591/ijpeds.v8.i4.pp1814-1821.

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<span>This article presents the new control structure for a Direct Current Motor (DC Motor) using the flatness-control principle. Basic on the mathematical model of DC Motors, the author demonstrates the application ability of the fatness-control theory to control the DC Motor, and then calculates the parameters and proposes the structure of the flatness-controller. The proposed structure is built and ran on Matlab-Simulink software to verify the system efficiency. The simulation results show that the quality of the control system is very good, especially in case of the flatness controller combined with PID controller to eliminate static error when the parameters of the DC Motor have been not known accurately.</span>
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11

W, Andrean George. "Straight-Move Robot Control System with LabView-Based Proportional Integral Derivative (PID) Control." Telekontran : Jurnal Ilmiah Telekomunikasi, Kendali dan Elektronika Terapan 3, no. 2 (July 22, 2019): 13–24. http://dx.doi.org/10.34010/telekontran.v3i2.1878.

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Abstract - Control and monitoring of the rotational speed of a wheel (DC motor) in a process system is very important role in the implementation of the industry. PWM control and monitoring for wheel rotational speed on a pair of DC motors uses computer interface devices where in the industry this is needed to facilitate operators in controlling and monitoring motor speed. In order to obtain the best controller, tuning the Integral Derifative (PID) controller parameter is done. In this tuning we can know the value of proportional gain (Kp), integral time (Ti) and derivative time (Td). The PID controller will give action to the DC motor control based on the error obtained, the desired DC motor rotation value is called the set point. LabVIEW software is used as a PE monitor, motor speed control. Keyword : LabView, Motor DC, Arduino, LabView, PID.
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12

Ghazi Bashaw, Faisal, Intisar Khalaf Salih, and Ghanim Thiab Hasan. "Study and Evaluation a New Predictive Control Method for Speed and Stator Current Control of Induction Motor." BIO Web of Conferences 97 (2024): 00109. http://dx.doi.org/10.1051/bioconf/20249700109.

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It is clear that modern industries rely heavily on electric motors, especially induction motors. These motors convert electrical energy into mechanical energy. The distinction in the performance of the induction motor lies in that it is powerful when exposed to various operational and environmental variables, and it is also inexpensive. However, there are many traditional disadvantages that appear during the operation of the induction motor in its non-linear mechanical properties in addition to the difficulty in regulating the speed of the motor. In this paper , we present a new control method for controlling the stator current and speed of induction motor based on current control with speed control technique. The present model is based on conventional predictive controller development with a structure which is similar to rotor control and the direct torque control .It has double loops and both loops will use the prediction power. The inner loop controls the stator current based on Finite Control Set - Model Predictive Control (FCS-MPC) and the outer loop controls the speed to maximize the dynamic response of the loop. The MATLAB software has been used to implement the controller circuit. The obtained simulation results indicates that the presented control method has comparable performance to conventional controllers with some reduction in the overshoot and fast response interval.
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13

Zhou, Jia, Xiao Long Tan, and Wen Bin Wang. "Research of Control System of Variable Frequency Motor." Applied Mechanics and Materials 556-562 (May 2014): 2244–47. http://dx.doi.org/10.4028/www.scientific.net/amm.556-562.2244.

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Variable frequency motors replace traditional ones which use mechanical and DC speed regulation strategies. The frequency of the motor torque and the motor inductance and frequency are directly related. Therefore, the inverter motor control system analysis and modeling of nonlinear frequency conversion motor without inductance calculations.
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14

Zhao, Wenhao, Jinliang Zhuo, Xikai Wang, Meiying Tian, Yihan Lin, Yingyi Zhu, and Songyan Kuai. "Dual Motor Model Prediction Control with Senseless Control and Parameter Identification Function." Journal of Physics: Conference Series 2578, no. 1 (August 1, 2023): 012043. http://dx.doi.org/10.1088/1742-6596/2578/1/012043.

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Abstract A new control strategy is proposed to address the issues of poor stability and inability to achieve torque synchronization in dual-drive systems. Firstly, the structure of the permanent magnet assisted synchronous reluctance motor is described, and the principles of model prediction dual-torque control, Beetle Antennae Search algorithm, and Kalman filter algorithm are analyzed. The permanent magnet assisted synchronous reluctance motor is used as the main motor, and a senseless control module and parameter identification module for the motor is established on this basis, creating a model prediction dual-torque control model for the dual motor with the above functions. Finally, through simulation, the rationality and accuracy of the model are verified. The results show that the model can balance the torque of the two motors and achieve accurate senseless control and parameter identification.
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15

Khaydarov, Ildar I., and Rustam R. Sharipov. "SENSORLESS SYNCHRONOUS MOTOR CONTROL SYSTEM." Electrical and data processing facilities and systems 20, no. 1 (2024): 90–96. http://dx.doi.org/10.17122/1999-5458-2024-20-1-90-96.

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Relevance Rotor position sensors are used to measure the transmission speed of electric motors and determine rotor positions. Thanks to this sensor, it becomes possible to control the speed and rotor both in the starting mode of the electric motor and in normal operation. At the same time, the presence of technological mechanisms when using position sensors is practically impossible; the presence of rotor speed sensors in synchronous motors significantly increases its reliability and increases the cost of the control system. Aim of research The main aim of the research. Development of an algorithm for calculating the rotor speed of a synchronous motor. Creation of a simulation model of a device that implements the developed algorithm, and subsequent evaluation of the algorithm’s performance based on the results of the simulation. Research methods The study of the developed method was carried out in the Matlab Simulink software package. Results An algorithm for calculating the rotor speed of a synchronous motor is presented and described in detail. Studies of the developed algorithm using simulation have shown high accuracy in calculating capacitive currents in the mode of a single-phase ground fault.
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16

M. Ravindran, M. Ravindran, and Dr V. Kirubakaran Dr. V.Kirubakaran. "Speed Control Drive for Switched Reluctance Motor." Indian Journal of Applied Research 3, no. 3 (October 1, 2011): 122–23. http://dx.doi.org/10.15373/2249555x/mar2013/38.

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17

Niazi, Muhammad Ahsan, Qaisar Hayat, Basit Khan, and Muhammad Afaq. "Speed Control of Three Phase Induction Motor using Variable Frequency Derive Control System." International Journal of Current Engineering and Technology 10, no. 01 (October 31, 2021): 5–10. http://dx.doi.org/10.14741/ijcet/v.10.1.2.

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Three-phase AC induction motors play a very important role in industry due to its low price and simplicity. The induction motor is used to convert three-phase AC power into mechanical power. When the load on an induction motor increases the percentage of slip is increase, which leads to decrease the speed of induction motor while constant speed in industry is very important. This paper presents a simple converter for driving three-phase Induction motor from three-phase AC supply by using the variable frequency drive in feedback. So the speed of induction motor is controlled by variable frequency device automatically through controller. It is simple and efficient method to control the speed because speed depends upon voltage, pole and frequency. Poles are fix inbuilt in the motor so we cannot change it and speed control through VFD is simple and energy efficient method. This technique implemented on hardware. So this technique is robust and simpler to implement.
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18

Clark, Jane E. "Motor Development and Motor Control Theory." Medicine & Science in Sports & Exercise 38, Supplement (May 2006): 40. http://dx.doi.org/10.1249/00005768-200605001-00029.

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19

Zhao, Mingchuang, Qunwei Wang, Yongwei Wang, and Qinxi Dong. "Multi-Motor Cooperative Control Strategy for Speed Synchronous Control of Construction Platform." Electronics 11, no. 24 (December 13, 2022): 4162. http://dx.doi.org/10.3390/electronics11244162.

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Barrel-type structures are ubiquitous in industry and life. A novel construction platform of barrel-type structures is introduced, and it involves a multi-motor system. The synchronous control of multiple motors has great importance. To guarantee the high precision, high stability, and fast response for the collaborative control of multiple motors, this paper proposes a multi-motor cooperative control strategy. Firstly, a speed synchronization control structure between multiple permanent magnet synchronous motors (PMSM) is designed by way of the mean coupling control structure. Then, the conventional PID controller is improved by machine learning. Moreover, a radial basis function neural (RBF) network is introduced to the conventional PID algorithm for system identification processing, and the gradient descent algorithm is used for parameter updating. An improved variable speed integral term is introduced into the integral term of the conventional PID algorithm to eliminate the error as soon as possible. Finally, it is verified via numerical simulation experiments that show the multi-motor cooperative control strategy has high anti-interference ability and robustness.
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20

Jing, Huaiguo, Ying Li, Bo Li, Shuo Huang, RuiDian Zhan, Hao Li, and Xuexi Zhang. "Research on a New Control System Based on L1 Adaptive Control Scheme for the Voice Coil Motor." Journal of Applied Mathematics 2022 (December 22, 2022): 1–12. http://dx.doi.org/10.1155/2022/3340331.

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With the continuous development of voice coil motors, it has also been widely used in today’s sports competitions. For example, the Hawk-Eye system in tennis matches uses voice coil motors to focus on the camera to capture the trajectory of the tennis ball. Therefore, in order to better solve the problem of dynamic parameter uncertainty, external load disturbance, and tracking control of the voice coil motor servo system in motion, this paper proposes for the first time the strategy of using L1 adaptive control algorithm to control the voice coil motor servo system. First, it briefly analyzes the working principle and control method of the voice coil motor, and then constructs the uncertain parameter model according to the mathematical model of the voice coil motor. The closed-loop system of voice coil motor is simulated and analyzed by L1 adaptive controller. The results show that the L1 adaptive control method effectively suppresses the high-frequency interference caused by the voice coil motor in operation, can control the tracking error to gradually converge and so the tracking effect is better, and has strong robustness to the perturbation of system parameters. It can be applied to voice coil motor servo control.
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21

Sihombing, Panangian Mahadi, Usman Usman, Hairul Amren Samosir, and Catra Indra Cahyadi. "AN IOT PROTOTYPE FOR TEMPERATURE MONITORING AND AUTOMATIC CONTROL OF ELECTRIC MOTOR." JURTEKSI (Jurnal Teknologi dan Sistem Informasi) 9, no. 4 (September 2, 2023): 559–66. http://dx.doi.org/10.33330/jurteksi.v9i4.2255.

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Abstract: The continuous use of an electric motor in some industries causes the electric motor to malfunction early. Such damage is generally caused by overheating. Therefore, to overcome the problem of overheating, most industries use two motors that work alternately. Both electric motors function as running and standby which are generally controlled manually by the operator or using a time delay relay (TDR). However, the control of both motors by the operator is not effective because it allows human error to occur. The use of TDR is also ineffective because it does not make the temperature of the electric motor a reference in controlling the work of the two electric motors. This research aims to produce a prototype that can monitor the temperature of the electric motor in real-time and control the electric motor based on the temperature of the electric motor. The Wemos D1R2 is used as a processor to control both electric motors and transmit the temperature of the electric motor to a smartphone via the internet. The MLX90614 sensor is used as an infrared-based temperature sensor. Based on the results of testing the overall performance of the prototype, it is known that the temperature readings of the electric motor are quite accurate with mean error and standard deviation of 0.13oC and 0.15oC, respectively. The prototype is also capable of controlling both electric motors automatically and controlling a cooler via a smartphone. Keywords: Electric Motor; MLX90614; Overheating; Wemos D1R2. Abstrak: Penggunaan sebuah motor listrik secara terus menerus pada sebagian industri menyebabkan motor listrik tersebut mengalami kerusakan lebih awal. Kerusakan tersebut umumnya disebabkan oleh panas berlebih. Oleh karena itu, untuk mengatasi masalah panas berlebih tersebut maka sebagian besar industri menggunakan dua buah motor yang bekerja secara bergantian. Kedua motor listrik tersebut difungsikan sebagai running dan standby yang mana umumnya dikendalikan secara manual oleh operator atau menggunakan time delay relay (TDR). Namun, pengendalian kedua motor oleh operator tidaklah efektif karena memungkinkan terjadinya human error. Penggunaan TDR juga tidak efektif karena tidak menjadikan suhu motor listrik sebagai acuan dalam mengendalikan kerja kedua motor listrik tersebut. Penelitian ini bertujuan menghasilkan sebuah prototipe yang mampu mengawasi suhu motor listrik secara real-time dan mengendalikan motor listrik berdasarkan suhu motor listrik. Wemos D1R2 digunakan sebagai prosesor untuk mengendalikan kedua motor listrik dan mengirimkan suhu motor listrik ke smartphone melalui internet. Sensor MLX90614 digunakan sebagai sensor suhu berbasis infra merah. Berdasarkan hasil pengujian kinerja prototipe secara keseluruhan diketahui bahwa hasil pembacaan suhu motor listrik cukup akurat dengan mean error dan standar deviasi masing-masing 0,13oC dan 0,15oC. Prototipe juga mampu mengontrol kedua motor listrik secara otomatis dan mengontrol sebuah pendingin melalui smartphone. Kata kunci: Motor Listrik; MLX90614; Panas Berlebih; Wemos D1R2.
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Singh, Abhay Kumar, and Shabbiruddin. "An Efficient Method for Motor Protection System Control Using Labview." International Journal of Measurement Technologies and Instrumentation Engineering 4, no. 1 (January 2014): 43–50. http://dx.doi.org/10.4018/ijmtie.2014010103.

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The need for a motor protection system can be well understood by the fact that motors are integral device in any of the present day industries. Malfunctioning or any other faults in motor can halt the functioning of such industries. This can cause huge financial losses. So an efficient motor protection system is necessary. The present research work deals with the application of Labview for motor protection system, which can constantly monitor and control, a large motor system. This paper presents a highly reliable approach towards protection of commonly used motors. Here we deal with different kinds of motor faults and detection of all these faults using NI LABVIEW™. The present paper will not only be helpful for industrial purposes but it can also be helpful for students to understand motor fault detection. The LABVIEW has been successfully applied to make an efficient motor protection system.
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Hudson, T. A., J. A. Bragg, and S. P. DeWeerth. "Biological motor control." IEEE Potentials 18, no. 5 (2000): 36–39. http://dx.doi.org/10.1109/45.807279.

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24

Thompson, David L. "Motor Control Systems." Electronic Systems News 1988, no. 3 (1988): 28. http://dx.doi.org/10.1049/esn.1988.0060.

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Loeb, Gerald E., Ian E. Brown, and Stephen H. Scott. "Directional motor control." Trends in Neurosciences 19, no. 4 (April 1996): 137–38. http://dx.doi.org/10.1016/s0166-2236(96)80020-8.

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Porter, Robert. "Human Motor Control." Trends in Neurosciences 15, no. 4 (April 1992): 154–55. http://dx.doi.org/10.1016/0166-2236(92)90359-g.

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27

McKinlay, Ian. "Human motor control." Neuromuscular Disorders 1, no. 6 (January 1991): 461–62. http://dx.doi.org/10.1016/0960-8966(91)90013-i.

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28

Kobayashi, Takashi. "Motor control device." Journal of the Acoustical Society of America 112, no. 6 (2002): 2516. http://dx.doi.org/10.1121/1.1536485.

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29

Löfgvist, Anders, and Björn Lindblom. "Speech motor control." Current Opinion in Neurobiology 4, no. 6 (December 1994): 823–26. http://dx.doi.org/10.1016/0959-4388(94)90129-5.

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30

Kravitz, Alexxai V., and Bridget A. Matikainen-Ankney. "Motor Control: Memory and Motor Control in the Dorsal Striatum." Current Biology 30, no. 22 (November 2020): R1366—R1368. http://dx.doi.org/10.1016/j.cub.2020.09.018.

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31

Hammoodi, Salman Jasim, Kareem Sayegh Flayyih, and Ahmed Refaat Hamad. "Design and implementation speed control system of DC Motor based on PID control and matlab simulink." International Journal of Power Electronics and Drive Systems (IJPEDS) 11, no. 1 (March 1, 2020): 127. http://dx.doi.org/10.11591/ijpeds.v11.i1.pp127-134.

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<span>In this paper, we first write a description of the operation of DC motors taking into account which parameters the speed depends on thereof. The PID (Proportional-Integral-Derivative) controllers are then briefly described, and then applied to the motor speed control already described , that is, as an electronic controller (PID), which is often referred to as a DC motor. The closed loop speed control of a Brush DC motor is developed applying the well-known PID control algorithm. The objective of this work is to designed and simulate a new control system to keep the speed of the DC motor constant before variations of the load (disturbances), automatically depending to the PID controller. The system was designed and implementation by using MATLAB/SIMULINK and DC motor.</span>
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32

Park, Hyun-Jong, and Sung-Chul Go. "Modeling and Control of a Hybrid Multi DOF Motor for a Tilted Rotating System." Energies 15, no. 19 (October 10, 2022): 7436. http://dx.doi.org/10.3390/en15197436.

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This paper presents the design, modeling, and control of a hybrid multi-degree-of-freedom motor (HMDOF motor) that can be applied to unmanned aerial vehicles, such as drones. The HMDOF motor has a rotating motor and tilting motors separately and enables multi-DOF movement by driving each motor. In addition, owing to its structural characteristics, it is designed to allow a 3- or 6-DOF movement in only one motor. In this study, the control performance of an HMDOF motor was verified using simulated and experimental results. The position control performance for the rotation speed of the rotating motor was verified, and the control performance of the motor under the speed of the rotating motor and disturbance on tilting motors were analyzed.
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33

Díaz-Pérez, Lucía, José Albajez, Marta Torralba, and José Yagüe-Fabra. "Vector Control Strategy for Halbach Linear Motor Implemented in a Commercial Control Hardware." Electronics 7, no. 10 (October 4, 2018): 232. http://dx.doi.org/10.3390/electronics7100232.

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Halbach linear motors are selected as actuators in positioning stages because they present numerous advantages in precision engineering. These motors generate a horizontal and a vertical force. Whereas the horizontal force is used to perform the movement, the vertical force can be leveraged for the levitation of the moving part of the stage. This paper proposes a vector control strategy that enables the positioning of the motor while regulating the generated vertical force. In contrast to other research projects, this work implements the control strategy in a commercial control hardware. The use of commercial hardware facilitates the applicability and replication of the developed control strategy. The selected hardware is a generic Digital Motor Control Kit of Texas Instruments. The hardware implementation of the control strategy is analysed in detail in order to understand and optimize the control system. The developed control is first validated by simulation, where the error contributors are included. Then, an experimental validation is carried out. The results demonstrate that the control strategy enables the positioning of the motor along its complete operating range and the regulation of the vertical force when the motor is static, as well as while it is moving to a target position.
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34

Drozdowski, Piotr. "Speed Control of Multiphase Cage Induction Motors Incorporating Supply Sequence." Archives of Electrical Engineering 63, no. 4 (December 11, 2014): 511–34. http://dx.doi.org/10.2478/aee-2014-0036.

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Abstract The subject of this paper is the control possibility of the multiphase cage induction motors having number of phases greater than 3. These motors have additional properties for speed control that distinguish them from the standard 3 phase motors: operation at various sequences of supplying voltages due to the inverter control and possible operation with few open-circuited phases. For each supply sequence different no load speeds at the same frequency can be obtained. This feature extends the motor application for miscellaneous drive demands including vector or scalar control. This depends mainly on the type of the stator winding for a given number of phases, since the principle of motor operation is based on co-operation of higher harmonics of magnetic field. Examples of operation are presented for a 9-phase motor, though general approach has been discussed. This motor was fed by a voltage source inverter at field oriented control with forced currents. The mathematical model of the motor was reduced to the form incorporating all most important physical features and appropriate for the control law formulation. The operation was illustrated for various supply sequences for “healthy” motor and for the motor operating at one phase broken. The obtained results have shown that parasitic influence of harmonic fields interaction has negligible influence on motor operation with respect to the useful coupling for properly designed stator winding.
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35

Irhamni, Irfan, Riries Rulaningtyas, and Riky Tri Yunardi. "PID-Based Design of DC Motor Speed Control." Indonesian Applied Physics Letters 2, no. 1 (July 14, 2021): 7. http://dx.doi.org/10.20473/iapl.v2i1.28297.

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DC motor is an easy-to-apply motor but has inconsistent speed due to the existing load. PID (Proportional Integral Differential) is one of the standard controllers of DC motors. This study aimed to know the PID controller's performance in controlling the speed of a DC motor. The results showed that the PID controller could improve the error and transient response of the system response generated from DC motor speed control. Based on the obtained system response data from testing and tuning the PID parameters in controlling the speed of a DC motor, the PID controller parameters can affect the rate of a DC motor on the setpoint of 500, 1000, 1500: Kp = 0.05, Ki = 0.0198, Kd = 0.05.
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36

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 (June 1, 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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37

SHIMONO, Keisuke, Atsushi KATO, Yasutaka TAGAWA, Koji HIRONAKA, and David STOTEN. "1C12 Control of a Linear Motor Driven Table via Minimal Control Synthesis." Proceedings of the Symposium on the Motion and Vibration Control 2010 (2010): _1C12–1_—_1C12–9_. http://dx.doi.org/10.1299/jsmemovic.2010._1c12-1_.

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38

Quan Ming, Li. "INTEGRATED PARAMETER CONTROL SYSTEM FOR DRIVING MOTOR MOBILE INTERNET." EPH - International Journal of Science And Engineering 3, no. 4 (December 27, 2017): 24–28. http://dx.doi.org/10.53555/eijse.v3i4.123.

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The brushless dc motor is a new kind of stepless variable speed motor, convenient maintenance, high efficiency and high performance is excellent, has on many occasions to replace other kinds of motors. Therefore, the further research of brushless dc motor has become a hot spot, has broad market prospects. In brushless dc motor as the research object, this paper designed a set of brushless dc motor based on TMS320F2812 DSP closed-loop variable frequency speed regulation system. On brushless dc motor speed control system of the basic composition, working principle, mathematical model and control strategy is commonly used, and on this basis of brushless dc motor double closed-loop control experiments, the results show that under the double closed loop control, brushless motor can run stable and reliable.
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39

Nasution, Elvy Sahnur, Muhammad Fitra Zambak, Suhendra Suhendra, and Arnawan Hasibuan. "Simulasi Pengoperasian Motor Pompa Air Berbasis Programmable Logic Control." INVENTORY: Industrial Vocational E-Journal On Agroindustry 1, no. 2 (December 31, 2020): 78. http://dx.doi.org/10.52759/inventory.v1i2.28.

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Maintain the availability of clean water in a multy-storey building make the water pump motor oprate continuously which can cause motor damage quickly, because there is no replacement system change of operation of the clean water pump motor conventional outomatic control. PLC (Programmable Logic Control) type Schneider Smart Relay Zelio Logic can be an opration to overcome clean water pump motor operation system to replace convensional automated system in to PLCbased automated systems. Simulation of the operational of a clean water pump motor in a multi-storey build use PLC software type Schneider Zelio Soft2 type SR2B121BD operate 3 clean water pump motors alternately between the source pump motor and the transfer pump motor, measurement of operating time transfer pump motor 1 with transfer pump motor 2 and the design of the alaram system trip to avoid damage to the motor using alarm rirens. Operating of PLC-based outomatic water pump motor very helpful oprator to operate the clean water pump motorized, where the operation of a clean water pump motor can be changed trought software as needed.
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40

Seethamathavi, M., and T. .Vignesh. "Sensorless Passivity Based Control of a DC Motor." International Journal of Engineering Research 4, no. 2 (February 1, 2015): 51–54. http://dx.doi.org/10.17950/ijer/v4s2/202.

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41

Aurélio Araujo Costa, Marcos, Edgar Roosevelt Braga-Filho, and Antônio Marcus Nogueira Lima. "Characterization And Control Of A Strontium Ferrite Motor." Eletrônica de Potência 20, no. 1 (February 1, 2015): 104–15. http://dx.doi.org/10.18618/rep.2015.1.104115.

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42

Girovský, Peter. "FUZZY CONTROL OF SYNCHRONOUS MOTOR WITH PERMANENT MAGNET." Acta Electrotechnica et Informatica 16, no. 4 (December 2016): 17–20. http://dx.doi.org/10.15546/aeei-2016-0027.

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43

Zhang, Hao Ming, Lian Soon Peh, and Ying Hai Wang. "Servo Motor Control System and Method of Auto-Detection of Types of Servo Motors." Applied Mechanics and Materials 496-500 (January 2014): 1510–15. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.1510.

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Mixture of DC brushed motors and DC three-phase brushless motors has been employed in complicated robotic systems, in order to control different types of motors may using commercial chipsets. Although these commercial chipsets are capable of driving different types of motors, the users are required to define the type of motors they are controlling through software. Defining the type of motors wrongly may damage the motors. Moreover, if a motor is replaced by another type, users would need to modify the software. The paper provides an auto-detection module that can be employed in a servo motor control system with a hybrid commutation control, wherein the hybrid commutation control can drive either a DC brushed motor or a DC brushless motor.
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44

Tse, Diane, and Sandi Spaulding. "Review of Motor Control and Motor Learning." Physical & Occupational Therapy In Geriatrics 15, no. 3 (July 29, 1998): 19–38. http://dx.doi.org/10.1300/j148v15n03_02.

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45

Tse, Diane W., and Sandi J. Spaulding. "Review of Motor Control and Motor Learning." Physical & Occupational Therapy In Geriatrics 15, no. 3 (January 1998): 19–38. http://dx.doi.org/10.1080/j148v15n03_02.

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46

Missitzi, Julia, Reinhard Gentner, Angelica Misitzi, Nickos Geladas, Panagiotis Politis, Vassilis Klissouras, and Joseph Classen. "Heritability of motor control and motor learning." Physiological Reports 1, no. 7 (December 2013): e00188. http://dx.doi.org/10.1002/phy2.188.

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47

Krasnow, Donna. "Motor Learning and Motor Control in Dance." Journal of Dance Medicine & Science 11, no. 3 (September 2007): 69. http://dx.doi.org/10.1177/1089313x0701100301.

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48

Zhang, Jin Dong, Gui He Qin, Yong Ping Huang, and Xiao Long Zhang. "Simulation of Hybrid Electrical Vehicle Automated Mechanical Transmission Control System." Advanced Materials Research 129-131 (August 2010): 7–11. http://dx.doi.org/10.4028/www.scientific.net/amr.129-131.7.

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For developing motor driven automated mechanical transmission of hybrid electrical vehicle, adjust and control the gear selecting motor, the gear shifting motor and the clutch motor. In the research of position-PID controller and robust disturbance observer, an automated mechanical transmission system based on position-PID was given. With Matlab, the position-PID controlling arithmetic and the controlling system models of the motors were built. Experimental results show that, a highly efficient and reliable automated mechanical transmission motor control system was developed.
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49

Shoby, Niba, Deepika Vasanthakumar, and Anupama P K. "Speed Control Using Fuzzy Controller for a Four Switch Sensorless BLDC Motor." Volume 5 - 2020, Issue 8 - August 5, no. 8 (September 16, 2020): 1668–74. http://dx.doi.org/10.38124/ijisrt20aug689.

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- Brushless Direct Current (BLDC) motors are highly efficient motors with high reliability and a longer life span. The advent of sensor less technology has improved the performance and reliability of BLDC motor drives. This work is to analyze a drive system for BLDC motor with Four-Switch Three-Phase Inverter (FSTPI). Back Electromotive Force (EMF) Zero Crossing Detection (ZCD) method is used to estimate the rotor position. Speed control of motor is achieved by using Fuzzy Logic Controller (FLC) based closed loop control system. The Simulation was carried out using MATLAB software and motor the performance was analyzed with FLC for motor speed regulation.
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50

Sun, Tianang, Pak-Kin Wong, and Xiaozheng Wang. "Back Propagation Neural Network-Based Fault Diagnosis and Fault Tolerant Control of Distributed Drive Electric Vehicles Based on Sliding Mode Control-Based Direct Yaw Moment Control." Vehicles 6, no. 1 (December 29, 2023): 93–119. http://dx.doi.org/10.3390/vehicles6010004.

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Distributed-drive vehicles utilize independent drive motors on the four-wheel hubs. The working conditions of the wheel-hub motors are so harsh that the motors are prone to failing under different driving conditions. This study addresses the impact of drive motor faults on vehicle performance, particularly on slippery roads where sudden faults can lead to accidents. A fault-tolerant control system integrating motor fault diagnosis and a direct yaw moment control (DYC) based fault-tolerant controller are proposed to ensure the stability of the vehicle during various motor faults. Due to the difficulty of identifying the parameters of the popular permanent magnet synchronous wheel hub motors (PMSMs), the system employs a model-free backpropagation neural network (BPNN)-based fault detector. Turn-to-turn short circuits, open-phase faults, and diamagnetic faults are considered in this research. The fault detector is trained offline and utilizes rotor speed and phase currents for online fault detection. The system assigns the torque outputs from both healthy and faulted motors based on fault categories using sliding mode control (SMC)-based DYC. Simulations with four-wheel electric vehicle models demonstrate the accuracy of the fault detector and the effectiveness of the fault-tolerant controller. The proposed system is prospective and has potential for the development of distributed electric vehicles.
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