Electric Vehicle Of Pmsm Based On Fuzzy PI Adaptive Control Without Clutch

Advanced electric vehicles drive system is the bottleneck which restricted the rapid development of electric vehicles. Permanent magnet synchronous motor(PMSM) is widely used in the drive system as driving motor with the advantages of good performance, simple structure, small volume, light weight, low loss, high efficiency, etc. Researching on PMSM vector control system can greatly improve the control performance of high-performance electric vehicle. Based on the reason that PMSM is a strong coupling, nonlinear and time-varying system, PMSM performance is severely affected by motor parameters variation and load fluctuation in speed control. Therefore, researching on advanced control theory and the key technology of PMSM in electric vehicle is crucial, which plays a key role in improving the performance of electric vehicle.With the development of high performance drive system for ele ctric vehicles, electric vehicle without clutch is of great practical significance. Motor variable speed drive system without clutch can cancel the mechanical gear box during clutch shifting process, reduce tedious weight, reduce the energy consumption of electric vehicle batteries, as well as increase electric vehicle driving mileage. The crucial problem of electric vehicles without clutch is to achieve fast and accurate tracking of motor speed and wheel speed together with smooth shift. Therefore, this di ssertation focuses on the intelligent control theory of electric vehicle speed tracking.Researching on the speed control of PMSM on the basis of intelligent control which plays an important role in vector control of PMSM in the system of the electric vehicle. Firstly, establish vector control system on traditional PI speed control mathematical model of PMSM based as well as on fuzzy PI adaptive speed control, and build simulation models. The simulation results show that, fuzzy PI adaptive control strategy in speed control can effectively improve the system dynamic performance, robustness and anti-disturbance ability, improving the stability of the system. Due to the fact that traditional nonlinear PI speed controller is unsuitable to the PMSM in parameter variations and load fluctuations, which is difficult to achieve the Fast speed tracking control of electric vehicles. This dissertation studies the intelligent control theory of a fuzzy adaptive PI controller, which is applied to electric vehicles without clutch in speed tracking control and smooth shifting. Compared with the conventional PI speed controller, the speed controller has the advantage of fast dynamic response, small overshoot, better robustness?short adjusting time and less affected by the variation of motor parameters and external disturbances.Designing and establishing the experimental platform system for vector control of PMSM on TI TMS320F28335 as the control chip based on the theoretical analysis and simulation study, doing related experiments. Experiments verify the feasibility and superiority of the PMSM vector speed control system of fuzzy PI adaptive control.The simulation and experimental results show that, the dissertation studies the PMSM of electric vehicle control system is less affected by the variation of motor parameters and load fluctuations. The driving control system can automatically adjust the controller parameters, realizing the wide range of electric vehi cle speed control, which gains better performance.