| With persistent increase of performance versus price, rapid development of power electronics, microprocessors, and control technology, the driving filed which uses permanent magnet synchronous motor (PMSM) as control object has been more and more widely applied in low-to-medium power range motion control system. However, because of PMSM drive system influenced by some uncertain factors, such as electromotor parameters, loading disturbances. To get high performance PMSM drive system, advanced control theory and high speed microprocessor must be applied, so that higher precise and stronger anti-jamming performance can be promised. The paper applies TMS320F2812DSP, and fuzzy neural net control is used in PMSM drive system. Since fuzzy neural net control doesn’t rely on precise mathematical model, and has strong robustness, with which the effects of nonlinear, coupling of the parameters in PMSM parameters based on space vector pulse width modulation can be conquered. Meanwhile, the paper applies IGA to optimize the parameters of fuzzy neural net controller, so that control precision of the system can be developed. According to these theory basements as above, the main work of this paper just as follows:First of all, basic structures and performance characteristics of PMSM are introduced. According to the coordinate transformation theory, mathematical models in both three phase stationary ABC and dq coordinated system are established. In the meanwhile, vector control theory and control strategy when id=0of PMSM are researched. Furthermore, fundamental principle and implementation of SVPWM for permanent magnet synchronous motor are analyzed in detail.Secondly, a novel design method of fuzzy-neural network (FNN) controller based on immune-genetic algorithm (IGA) is proposed, and which is applied in speed controller of PMSM double closed-loop vector control system, so that accurate rotary speed control of PMSM can be realized. Compared with traditional PID controller, system applies the controller based on immune-genetic algorithm (IGA) demonstrates better control performances and control effects in simulation analyzing. At last, design of software and hardware parts of SMSM which is based upon TMS320LF2812DSP is finished. What’s more, with the help of MATLAB simulation software, construction of all simulation modules is described and simulation analysis of frequency control system of PMSM is accomplished. Simulation results testify that the speed control system is feasible and has certain practical value to some extent. |