Research On The Optimization Of The Permanent Magnet Synchronous Motor Control System Simulation

With the scale of the permanent magnet material production enlarged, process of motor manufacturing ascended, microelectronics technology and computer technology matured and the modern intelligent control theory developed, we meet the society to the higher requirement of the motor control system, the permanent magnet synchronous motor is a high performance permanent magnet actuator ac control system and it become the development direction in the future. Permanent magnet synchronous motor (PMSM) control system in automobile engine, household appliances, industrial robots, numerical control machine tools, office automation equipment, vehicle tracking, missile guidance, and other fields has been widely applied.However, permanent magnet synchronous motor is a nonlinear, strong coupling, time-varying complex system, and model of the motor parameters easily affected by changes in the actual work environment, at the same time, the traditional double-loop structure (speed loop and current loop) controller due to the mutual influence between each ring, reduce the dynamic response performance of the system. Besides, because of modern permanent magnet synchronous motor control system for the dynamic response of the motor speed speed higher and higher demands are proposed, in the past people often use known classic control theory of linear model as the research object to reach the performance requirements of the control system. Now, through the research of advanced intelligent control algorithm improved performance of PMSM control system become a hot research topic in recent years.This paper completed the main research work can be divided into the following several aspects:First of all, The article introduced the main structure of permanent magnet synchronous motor, classification method and control strategy development present situation, respectively based on the analysis of the three-phase static coordinate system, two-phase static coordinate system and two-phase rotating coordinate system under the PMSM mathematical model, and under two phase rotating coordinate system is selected for permanent magnet synchronous motor control system are analyzed.Secondly, analysis of different control technology of permanent magnet synchronous motor described the principle of fuzzy vector control system and inverter modulation method commonly used in voltage space vector pulse width modulation (SVPWM) principle.At the same time under the environment of Simulink of MATLAB software to establish the complete fuzzy control system based on SVPWM vector control simulation model, including coordinate transform module and SVPWM modulation wave generation module.This laid the foundation for the research of control system.Then, through the analysis of the principle of the neural network theory and fuzzy control, the radial basis function (RBF) neural network controller is applied to permanent magnet synchronous motor control system, and USES fuzzy logic to optimize RBF neural network learning step size, improved the precision of RBF neural network optimization. Then through m file with the Simulink in MATLAB software environment we establish optimization control system simulation module, the simulation results show that the optimized neural network make speed controller for permanent magnet synchronous motor control more good running performance, and The amount of traditional control method speed overshoot than ever smaller and faster leveled off.Finally, this paper focused on the operation of the permanent magnet synchronous motor parameters and load torque change, particle swarm optimization (pso) algorithm is analyzed, and add dynamic inertia factor optimization algorithm of the initial speed, in order to improve the convergence effect of pso, and then we designed that based on inertial factor of pso algorithm with the parameter estimator, using the global approximation of pso algorithm to eliminate the interference of error. In order to verify the feasibility of the parameter estimator, the use of m file of MATLAB with the Simulink environment of building simulation, the simulation results show that the application of the parameter estimator, guarantees the tracking system has good tracking effect, it has the global stability and strong robustness.