Research On The Vector Control System Of Induction Motor Based On Improved Flux Observation Method

The high-accuracy dynamic speed control performance of induction motor is an important prerequisite for precision industrial production.Flux observation technology is the key to build the vector control system,how to improve its observation accuracy is the key to obtain the high performance speed control system.Due to the harsh industrial environment,the performance of induction motor will be further reduced.Therefore,it is a necessary research work to carry out accurate flux estimation in order to improve the speed precision and the anti-interference ability of the system.In this dissertation,the theory and simulation of the voltage model,current model and the full order flux observer of flux observation technology are studied,and the experimental verification of the related algorithms is carried out.First of all,the mathematical model of the voltage is adjusted based on the principle of the band-pass filter,which improves the ability of the voltage model to estimate the irregular distribution of flux.Based on the current model and the improved voltage model,a combined flux observer algorithm is developed,which can accurately observe the flux signal without the influence of the motor speed.Secondly,the theory points and the key problems of the full order flux observer are deeply studied.By using the variation process principle of differential evolution algorithm combined with the advanced bat algorithm,the iterative speed and the precision of the bat algorithm are improved.In order to overcome the defect that artificially select the parameters of the full order flux observer is tend to make the designed algorithm not universal.The intelligent optimization of parameters in the design process of the full order flux observer based on differential bat algorithm obtained a better universal improved flux observer.Finally,according to the principle of vector control,the asynchronous motor experiment platform is designed,and the use of digital controller and software development environment is studied.Based on the experimental platform,the software development of the vector control program is completed.Then the software program of the combined flux observer is developed and applied the program to the experimental platform.The motor speed,current and rotor angle of the running experimental platform were observed by digital oscilloscope,and the experimental results were discussed and analyzed.According to the simulation results and experimental results,it can be concluded that the accuracy of the combined flux observer is almost not affected by the change of the motor speed,and the combined flux observer overcomes the limitations of the voltage model and current model.The good search ability of differential evolution algorithm can effectively improve the performance of the bat algorithm.The improved full order flux observer based on the differential bat algorithm can simplify the design process of the algorithm and the performance of the induction motor speed control system is improved.The experimental results of the combined flux observer are in good agreement with the theoretical analysis of the algorithm,and the combined flux observer reached the popularization and application requirements.