학술논문

Optimization Control of PMSM Based on Fuzzy Control and Inverter Dead-Time Compensation
Document Type
Conference
Source
2023 3rd International Conference on Electronic Information Engineering and Computer Science (EIECS) Electronic Information Engineering and Computer Science (EIECS), 2023 3rd International Conference on. :5-10 Sep, 2023
Subject
Communication, Networking and Broadcast Technologies
Computing and Processing
Robotics and Control Systems
Signal Processing and Analysis
Software packages
Permanent magnet motors
Inverters
Stability analysis
Mathematical models
Optimization
Matlab
Permanent magnet synchronous motor
Voltage source inverter
Dead-zone compensation
Fuzzy PI control
Language
Abstract
At present, permanent magnet synchronous motors have many advantages such as high efficiency, large starting torque, safety and maintenance free, and are widely used in the medical industry, electric vehicles, and other industries. However, they are not widely used in industrial fields such as air-cooling islands and cement industry. Because permanent magnet synchronous motors have good stability during high-speed operation, they often experience current distortion due to the dead zone of the inverter during low-speed operation. If the controller is not effective, the speed will also fluctuate significantly, affecting the stability of the system. To address these issues, a PMSM model was built using MATLAB software and Simulink environment, and simulation experiments were conducted. A method combining fuzzy PI control and dead zone compensation was proposed. When compensating for dead time, it is necessary to determine the zero-crossing point of the current, and then perform hierarchical linear compensation for the voltage approaching zero. The closer the zero point is, the smaller the compensation is, effectively solving the problem of voltage error compensation. In addition, it is proposed to use fuzzy PI control instead of traditional control to compare and analyze the two controllers. The experimental results show that fuzzy control has a short speed adjustment time, can almost eliminate overshoot, and high reliability. The dead zone compensation method effectively suppresses low-frequency harmonics of the current and improves the system's ability to operate stably at low speeds.