Research Of Drive System For Hybrid Excitation Synchronous Motor Based On Intelligent Control Algorithm

Hybrid excitation synchronous machine(HESM)is a new type of motor based on the structures and theories of electric excitation motor and permanent magnet syschronous motor(PMSM).The permanent magnet and exciting winding can produce a main magnetic field together by changing the internal topology structure of HESM,so as to make the main magnetic field adjustable,to make the speed range of motor wider,to make the torque output bigger at low speed and to increase the efficiency and power density of the motor,which makes HESM have a very board application prospect.In recent years,the researches on the control strategies of HESM and its driving system are mainly based on the traditional control strategies of PMSM,compared with the traditional PMSM,HESM adds a field winding coupled with the armature winding,and the circuits formed by the two windings affect each other,which causes the electromagnetic relationship and the dynamic processes inside the motor to be relatively complicated.Therefore,the traditional control strategies haven’t achieved a good control effect.Based on the above status quoes,scholars have also devoted themselves to the explores and researches on modern control strategies and intelligent control strategies of HESM and its driving system.In this dissertation,HESM is acted as the research object and the intelligent control strategies are applied to the HESM drive system,which makes full use of efficient potential and the advantages of excitation and speed control for HESM.Then it is verified that dynamic and static performances of HESM drive system are effectively enhanced after introducing intelligent control strategies.The main research contents of this dissertation are as follows:Firstly,the background and research status and application prospects of HESM are introduced,and the significance of this research is expounded.Then the structure and the working principle of HESM are analyzed,and the mathematical model about HESM in stator and rotor coordinate system are established.At last the principle of HESM vector control is introduced.Secondly,two intelligent control strategies-fuzzy PID control and RBF neural network setting PID control are put forword in this dissertation based on the following reasons,(1)The mathematical model of HESM has strong non-linearity and time-varying so that it is so difficult for traditional PID control methods to achieve good control effects.(2)With the development of intelligent control technology such as fuzzy control and neural network control,the new visual field is developed to solve the system problem about highly-nonlinear and time-varying.Then fuzzy PID control algorithm and RBF neural network setting PID control algorithm are applied to the speed loop of HESM drive system,and the structure diagram of HESM drive system is established in Matlab / Simulink working environment.At last,three control algorithms based on the traditional PID control,fuzzy PID control and RBF neural network setting PID control are used to the theoretical simulations of speed response,the simulation results show preliminary that it is feasible and ideal to apply the intelligent control algorithm to the HESM drive system.Thirdly,the software design of HESM drive system based on fuzzy PID control is completed,the principle and the realization methods of the rotor position angle determination module,speed calculation module,fuzzy PID control module and SVPWM generation module are described in detail.Finally,the hardware platform of HESM drive system is used to drive a three-phase and15-kilowatt HESM to drag loads,so as to complete a series of experiments.After the verification of the hardware and software modules and running function,the HESM is carried out with load start and electric test,while related experimental data is analyzed.The results show that the HESM drive system has a good dynamic and static Performance after using intelligent control methods.