Research On Drive Control System Of Two-wheel And Self-balanced Electric Vehicle

Two-wheeled and self-balancing electric vehicle is a new type of transport, it is smartand environmentally friendly and energy efficient. The vehicle is the outcome of manydisciplines, and has a broad prospect and great scientific research value. Motor drive is one ofthe most important subsystems of the vehicle, it directly determines the performance of thevehicle. To fulfill the high requirement of the self-balancing vehicle, this thesis does somedeeper research on the application of PMSM DTC drive technology in the motor drive systemof the vehicle.The mathematical model of the self-balancing vehicle and the simulation model of thePMSM DTC are produced in this thesis first, illustrates the mechanisms of balance and alsoshows the characteristic of the PMSM DTC system. To improve the response speed of thesystem and enlarge the operating range, deeper research on the application of MTPA and fieldweakening is looked into in this thesis. To solve the problem of the variable switchingfrequency and great losses of switching, SVPWM strategy is applied in this paper and thePMSM SVM-DTC system is founded in Simulink. Further performance improvement of thesystem is obtained by the application of fuzzy algorithm in the PMSM drive control,SVM-DTC system based on fuzzy PID is established. In the end, the circuit of the PMSMDTC system is design-ed, the program flow diagram and a part of source code is produced.The question of the improvement of the traditional PMSM DTC system is foscused on inthis thesis, PMSM DTC drive system at full speed range is founded step by step in this paper.To indicate the advantage of MTPA/FW and SVPWM strategy, simulation research isconducted. As one group of PID parameter can not meet the operation of the system at fullspeed range, three groups of PID parameter are set in the speed regulator, furthermore, fuzzyalgorithm is applied so that better performance will be obtained.Research show that faster dynamic response is gotten as a result of the application ofMTPA strategy; larger operation range were gotten for the use of field-weakening algorithm;switching frequency is constant because of the application of SVPWM algorithm, lowertorque frequency is also obtained; better performance will be obtained if fuzzy PID control isused in the system. The system founded in this thesis meet the demands of the two wheeledand self-balancing vehicle, further research can be done on this basis.