Fuzzy PI Based Motor Speed Control using DSP TMS320F2812
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Date
2022
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International Journal of Latest Research in Humanities and Social Science (IJLRHSS)
Abstract
Alternating Current (AC) induction machine plays an important role in the entire industry and daily life. This is due to their robustness, inexpensive and easy to maintain in a period of time. Vector control is used in large numbers in the speed control of AC induction machine. High dynamic performance high speed precision and wide constant torque range capabilities are the key benefits of vector control. Stability of the system during transient process and a wide range of operation are assured through the application of vector control.
The purpose of this thesis is to study the vector control of AC induction machine based on the principles of the AC speed control system, vector control and fuzzy Proportional integral (PI) control, and implementing the digital vector control systems based on the digital signal processor (Digital Signal Processor-DSP TMS320F2812) from Texas Instruments. The mathematical modeling of the AC induction motor and the principles of vector control and fuzzy systems are overviewed first. Fuzzy PI regulator is then proposed to carry out the regulation of the motor speed. The fuzzy PI is an intelligent technique that has evolved in the last decades and it emulates the human way of thinking. Therefore the fuzzy PI does not need the exact mathematical model. In-depth study of fuzzy PI and the normal PI was carried out. Matlab/Simulink software is used to simulate the vector control of the AC induction motor with both fuzzy PI regulator and normal PI regulator for comparative purposes. Simulation results showed that fuzzy PI has a better performance in terms of stability, faster response and robustness, and the fluctuation ripples are also smaller. Experiments had been done on the laboratory platform of AC drive system with the help of AC speed control monitor program designed in Laboratory Virtual Instrument Engineering Workbench (LabVIEW) under variable operating conditions. The experimental waveforms were captured using the LabVIEW monitoring software. In order to carry out real time implementation, Code Composer Studio and SEEDXDS510plus Emulator are adopted to programming and testing with the DSP TMS320F2812. Experiments results show that the fuzzy PI regulator performs better than normal PI regulator, as fuzzy PI regulator indicates better waveforms of torque and speed responses during acceleration and deceleration, especially when the motor is operating on lower speeds.
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Chasokela, D., 2022. Fuzzy PI Based Motor Speed Control using DSP TMS320F2812.