| Permanent magnet synchronous motor(PMSM),with its advantages of high reliability,small size,light weight and high power density,has gradually occupied the AC servo system market.Therefore,PMSM has been widely used in defense,industrial control,medical and other fields.Based on the PMSM,the design of AC servo system is presented in this thesis.When faced with such a multivariable and strongly coupled complex object of PMSM,the PID controller can not balance the strong robustness with good response performance.To solve this problem,this thesis studies the intelligent control strategy of PMSM.Firstly,based on the theory of coordinate transformation,mathematical models of PMSM in different coordinate systems was established.Based on the vector control strategy and Space Vector Pulse Width Modulation(SVPWM),positioning servo system is built in the Matlab/Simulink.After that,the PI controller is used to verify the system,and the problems of the PI controller in the control process are analyzed,which provides a theoretical basis for the subsequent controller design and strategy research.Secondly,based on DSP(TMS320F28335),PMSM AC servo control system was built.A modular design concept is adopted to build the minimum system and peripheral application circuits of DSP.The main program of the controller is programmed with a double interrupt in the CCS6.0.In order to facilitate the control and observation of the operating status of the PMSM,a suite of upper computer software platform is programmed with Lab VIEW.PI controller can not take into account the strong robustness with good response performance,so a sliding mode variable structure control strategy(SMC)is introduced.A variable gain method is proposed to weaken the buffeting of the SMC,and a dual-segment variable gain sliding mode controller is designed.The effect of the controller is studied with Matlab/Simulink.It is found that there is a contradiction between the strong robustness and chattering.For this problem,RBF neural network is introduced,and a dual-segment variable gain sliding mode controller based on RBF neural network is designed.The effect of the controller is verified in the Matlab/Simulink and servo control system.The results show that the controller has good response performance and strong robustness. |