![]() So, you must go through my previous tutorials before going into the detail of today's tutorial because I have used the same hardware setup and a bit changed Arduino source code. I have also discussed that how to control the speed of the DC motor using PWN pins of the motor controller L298 in Arduino software. I have also given a detailed discussion about the PWM (Pulse Width Modulation) concept as well as about the duty cycle of the digital signal. Moreover, you should also have a look at DC Motor Direction Control in Matlab and DC Motor Speed Control using Arduino in which I have discussed in detailed about how to make simple and easy programs to control the direction of DC motor in both clockwise and anti clockwise direction. So, I would suggest you to first have a look at that tutorial before reading this one. In my previous tutorials, DC Motor Direction Control using Arduino, we have seen the direction control of DC Motor via Arduino. Today, I am going to tell you guys that how to design a simple algorithm for DC Motor Speed Control in MATLAB by simply sending different commands to the serial port from Matlab to Arduino. Kamdar, Sauyma, Harsidh Brahmbhatt, Tigmanshu Patel, and Manish Thakker.Hello friends! I hope you all will be absolutely fine and having fun. "Motor DC identification based on Recurrent Neural Networks." Mechatronics-Mechatronika (ME), 2014 16th International Conference on. Ismeal, Godem A., Karol Kyslan, and Viliam Fedák. "Motor DC speed control based on system identification and PID auto tuning." Control Conference (CCC), 2017 36th Chinese. Tang, Wei-Jie, Zhen-Tao Liu, and Qian Wang. Radmanesh, “Identification of a continuous time nonlinear state space model for the extenal power system dynamic equivalent by neural network,” Electrical Power and Energy Systems, vol. Ljung, “Prediction error estimation methods”, Circ. Rapid design of Motor DC speed control system based on Matlab. New Jersey, Prentice Hall, Upper Saddle River. Modern Control Engineering Third Edition. "Identification and adaptive neural network control of a Motor DC system with dead-zone characteristics." ISA transactions 50.4 (2011): 588-598. "Optimal PID speed control of brush less Motor DC s using LQR approach." Systems, Man and Cybernetics, 2004 IEEE International Conference on. Zadeh, “On the Identification Problem,” IEEE Transactions On Circuit Theory, vol. Ljung, System Identification Theory for the User, 2nd ed., Prentice Hall, CA: Linkoping University Sweden, 1999. "A scheme to control the speed of a Motor DC with time delay using LQR-PID controller." In Industrial Instrumentation and Control (ICIC), 2015 International Conference on, pp. "Linear quadratic regulator (LQR) controller design for DC servo motor." PhD diss., Universiti Tun Hussein Onn Malaysia, 2013. Simulasi Sistem Kontroler Pid Untuk Motor Induksi Menggunakan Perangkat Lunak Matlab / Simulink. 3rd ed 2004, Amsterdam Boston: Elsevier Academic Press. Ellis, Control system design guide : a practical guide. "Implementation and performance analysis of digital controllers for brushless Motor DC drives." IEEE/ASME transactions on mechatronics 19, no. " IEEE/CAA Journal of Automatica Sinica 4, no. ![]() "Design and robust performance evaluation of a fractional order PID controller applied to a Motor DC. "Data-Driven Output-Feedback Fault-Tolerant Compensation Control for Digital PID Control Systems With Unknown Dynamics." IEEE Transactions on Industrial Electronics 63, no. "Sensorless speed control of high speed brushed Motor DC by model identification and validation." In Engineering (NUiCONE), 2015 5th Nirma University International Conference on, pp. From the test results obtained that LQR control produces a better system response time constant when compared to PID control. While the R element matrix in tuning experimentally with value 0.000001. Furthermore, the implementation of LQR control technique with parameter of Q element element is sought by multiplication of transpose matrix C system with matrix C of the system. The result of the system identification process is a model of DC Motor with second order ARX (Auto Regressive Exogenous) modeling. This module is integrated between Arduino and Simulink Matlab which is used as input-output data acquisition. In this research, the motor modification system module with Arduino DC was developed to facilitate in terms of getting the model of DC motor by approaching first and second order models. After the DC motor model system is obtained, the optimal control technique in this case using linear quadratic regulator (LQR) is used to view the system response step. This paper describes the identification process of DC motor system with experimental technique using indetification tool in Matlab.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |