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Автор: Grafiati

Опубліковано: 11 березня 2023

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Статті в журналах з теми "Embedded controllers design"

Majumdar, Jharna, Sudip C Gupta, and B. Prassanna Prasath. "Linear and Non-Linear Control Design of Skid Steer Mobile Robot on an Embedded." IAES International Journal of Robotics and Automation (IJRA) 7, no. 3 (2018): 185. http://dx.doi.org/10.11591/ijra.v7i3.pp185-196.

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A detailed approach for a linear Proportional-Integral-Derivative (PID) controller and a non-linear controller - Linear Quadratic Regulator (LQR) is discussed in this paper. By analyzing several mathematical designs for the Skid Steer Mobile Robot (SSMR), the controllers are implemented in an embedded microcontroller - Mbed LPC1768. To verify the controllers, MATLAB-Simulink is used for the simulation of both the controllers involving motors - Maxon RE40. This paper compares between PID and LQR controller along with the performance comparison between Homogenous and Non-Homogenous LQR controllers.

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Mhadhbi, Imène, and Slim Ben Saoud. "Model-based design approach for embedded digital controllers design." International Journal of Automation and Control 5, no. 3 (2011): 267. http://dx.doi.org/10.1504/ijaac.2011.042857.

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Quagli, Andrea, Daniele Fontanelli, Luca Greco, Luigi Palopoli, and Antonio Bicchi. "Design of Embedded Controllers Based on Anytime Computing." IEEE Transactions on Industrial Informatics 6, no. 4 (2010): 492–502. http://dx.doi.org/10.1109/tii.2010.2055878.

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Soto-Hidalgo, J. M., A. Vitiello, J. M. Alonso, G. Acampora, and J. Alcala-Fdez. "Design of Fuzzy Controllers for Embedded Systems With JFML." International Journal of Computational Intelligence Systems 12, no. 1 (2019): 204. http://dx.doi.org/10.2991/ijcis.2019.125905646.

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Burns and, Daniel, and Thomas G. Sugar. "Rapid Embedded Programming in the Mathworks Environment." Journal of Computing and Information Science in Engineering 2, no. 3 (2002): 237–41. http://dx.doi.org/10.1115/1.1519836.

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New, commercially available, automatic, code-generation tools are used in teaching and lab exercises to progress from controller design, to simulation, and finally to implementation on mechanical hardware. An embedded computing system consists of a dedicated, digital, electronic-processor that controls a system that interacts with the environment. Case studies highlighting a force-feedback joystick and motor servo control with encoder feedback are presented to illustrate laboratory exercises that teach mechanical engineering students hardware-in-the-loop control system design. Using these software tools, design iterations and multiple controllers are quickly simulated and downloaded to the actual hardware.

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Roy, Debayan, Licong Zhang, Wanli Chang, Dip Goswami, Birgit Vogel-Heuser, and Samarjit Chakraborty. "Tool Integration for Automated Synthesis of Distributed Embedded Controllers." ACM Transactions on Cyber-Physical Systems 6, no. 1 (2022): 1–31. http://dx.doi.org/10.1145/3477499.

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Controller design and their software implementations are usually done in isolated design spaces using respective COTS design tools. However, this separation of concerns can lead to long debugging and integration phases. This is because assumptions made about the implementation platform during the design phase—e.g., related to timing—might not hold in practice, thereby leading to unacceptable control performance. In order to address this, several control/architecture co-design techniques have been proposed in the literature. However, their adoption in practice has been hampered by the lack of design flows using commercial tools. To the best of our knowledge, this is the first article that implements such a co-design method using commercially available design tools in an automotive setting, with the aim of minimally disrupting existing design flows practiced in the industry. The goal of such co-design is to jointly determine controller and platform parameters in order to avoid any design-implementation gap , thereby minimizing implementation time testing and debugging. Our setting involves distributed implementations of control algorithms on automotive electronic control units ( ECUs ) communicating via a FlexRay bus. The co-design and the associated toolchain Co-Flex jointly determines controller and FlexRay parameters (that impact signal delays) in order to optimize specified design metrics. Co-Flex seamlessly integrates the modeling and analysis of control systems in MATLAB/Simulink with platform modeling and configuration in SIMTOOLS/SIMTARGET that is used for configuring FlexRay bus parameters. It automates the generation of multiple Pareto-optimal design options with respect to the quality of control and the resource usage, that an engineer can choose from. In this article, we outline a step-by-step software development process based on Co-Flex tools for distributed control applications. While our exposition is automotive specific, this design flow can easily be extended to other domains.

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Gwak, Kwan-Woong, and Glenn Y. Masada. "Regularization Embedded Nonlinear Control Designs for Input-Constrained and Ill-Conditioned Thermal System." Journal of Dynamic Systems, Measurement, and Control 126, no. 3 (2004): 574–82. http://dx.doi.org/10.1115/1.1789973.

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New regularization embedded nonlinear control designs are proposed for the temperature control of an input-constrained and ill-conditioned thermal process. A classic nonlinear controller applied to such a process is shown to provide good temperature tracking but generates physically unreasonable actuator solutions, i.e. input-constraint-violation. The reason of input-constraint-violating control solutions—ill-conditionedness—is shown by applying singular value decomposition (SVD) on the linear algebraic equivalence of the nonlinear controllers (LAENC). Based on the analogy of LAENC and regularization method for the linear algebraic equations, Tikhonov, truncated singular value decomposition (TSVD) and modified TSVD (MTSVD) methods are embedded in the design of feedback linearizing controllers (FBL) and sliding mode controllers (SMC). These regularization embedded nonlinear controllers (RENLC) provide good temperature tracking and generate physically reasonable and actuator-constraint-satisfying solutions for the ill-conditioned system, in spite of the modeling errors inherent in applying regularization. The optimal Tikhonov parameter is found using an L-curve. Quantitative comparisons of the residuals and standard deviations of the control inputs are used as criteria to select the optimal truncated singular value decomposition (TSVD) parameter.

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Huba, Mikulas, Stefan Chamraz, Pavol Bistak, and Damir Vrancic. "Making the PI and PID Controller Tuning Inspired by Ziegler and Nichols Precise and Reliable." Sensors 21, no. 18 (2021): 6157. http://dx.doi.org/10.3390/s21186157.

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This paper deals with the design of a DC motor speed control implemented by an embedded controller. The design is simple and brings some important changes to the traditional Ziegler–Nichols tuning. The design also includes a novel anti-windup implementation of the controller and an integrated noise-reduction filter design. The proposed tuning method considers all important aspects of the control, such as pre-processing of the measured signals and filtering (to attenuate the measurement noise), time delays of the process, modeling and identification of the process, and constraints on the control signal. Three important aspects of designing PI and PID controllers for processes with noisy output on Arduino-type embedded computers are considered. First, it deals with the integrated design of the input filter and the controller parameters, since both are interdependent. Secondly, the method of setting the controllers from step responses by Ziegler and Nichols is modified for the case of digital signal processing (without drawing the tangent), while it recommends the suitability of its modification in terms of the use of both integral and static models. Third, the most suitable anti-windup solution for the given controller structure is proposed. In summary, the paper shows that an appropriate design of the embedded controller can achieve excellent closed-loop performance even in a noisy process environment with limited control signals.

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Dharmalingam, S., L. Sivakumar, T. Anandhi, and M. Umapathy. "Improved method to mitigate the effect of coal fuel switching on critical process parameters of a steam generator in a thermal power plant." Proceedings of the Institution of Mechanical Engineers, Part A: Journal of Power and Energy 225, no. 8 (2011): 1026–40. http://dx.doi.org/10.1177/0957650911420016.

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The design and performance of steam generators supplied to thermal power plants are greatly influenced by the properties of coal burnt. All coals are not same and the variation of heating value of coal supplied to boiler results in changes in critical process parameters like pressure and temperature of main steam produced. These fluctuations are normally controlled by master pressure controller, provided the variation in heating value is within certain limits. If the heating value of coal being burnt varies substantially, a remedial measure is necessary to control the pressure and temperature fluctuations during coal fuel switching. The composition of the coal burnt currently in a boiler is determined from an online analyser, and an embedded controller computes the current heating value of the coal and suitably modifies the gains of all the controllers to arrest the undue fluctuations in pressure and temperature. A validated mathematical model for a typical 500 MW plant is used to simulate the variations in pressure and temperature of steam with normal and embedded controllers. Significant reduction in pressure and temperature variation has been achieved with an embedded controller. This article discusses the improved method of ensuring optimum boiler performance during coal fuel switchover.

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Zhou, Geng Lie, Chi Bing Hu, and Ya Zhou Wang. "The Design of the Network Weighing Monitoring System Based on Embedded Controller." Advanced Materials Research 503-504 (April 2012): 1385–88. http://dx.doi.org/10.4028/www.scientific.net/amr.503-504.1385.

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The functions and the characteristics of RS-485 bus, I-7188 embedded controller, and SK2001 intellectual weighting controller are introduced briefly in this paper. The communication protocol of weighing controller, design of system hardware and software, and implementation of communication function are also analyzed in detail here. The serial communication between I-7188 and multiple weighing controllers has been implemented by using RS-485. As a result, the centralized control of the distributed equipments, the acquisition and automation upload of the metering data have been accomplished. The results of practical application show that this system has the characteristic of high stability and tolerance; it is easy to be managed and expanded as well.

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