Space Vector Control of a Permanent Magnet Linear Synchronous Motor Based on the Improved Single Neuron PID Algorithm

Abstract

There are some characteristics of a Permanent Magnet Linear Synchronous Motor (PMLSM) such as nonlinearity, strong coupling, and multi-control variables, etc. The traditional Proportional Integral Derivative (PID) control is not suitable for dealing with the nonlinear and time-varying system due to its fixed control parameters. Therefore, the PMLSM control is designed in this paper based on Space Vector Pulse Width Modulation (SVPWM), by optimizing the traditional principle model of a PMLSM and using the improved single neuron PID. According to the structure and working principle of the PMLSM, the mathematical model is set up by using the space vector control method and coordinate transformation, and the corresponding control system is built by SVPWM with i_d = 0 methods. Combining biological immune regulation with a single neuron PID control algorithm, and learning from immune regulation with the capability of eliminating antigen and stabling immune system, the improved single neuron PID is proposed. With the advantages of improving the learning speed of neuron algorithm, on-line adjustment of the proportional coefficient value and optimizing control algorithm, the control algorithm of the PMLSM is constructed. Experiment results show that the improved single neuron PID method has the advantages of faster response, higher control precision, good adaptability and robustness compared with the ordinary single neuron PID control.