Adaptive Inverse Control System Based On BP Neural Network

In this stage, with the deepening research in the adaptive inverse control technology, people achieved certain results, as a novel control method to be widely used, the control methods become more and more mature, and it promote this technoogy vigorous development. By studying and analyzing the related data shows,domestic and foreign experts and engineers studied in linear adaptive inverse control method too much. However, in nonlinear adaptive inverse control research, the acquired achievements is relatively too smaller. As everyone knows, if you want to improve the performance of nonlinear adaptive inverse control, you need the help of the inverse control structure to realize nonlinear adaptive filter, in order to solve the technical problem that needs to be implemented by neural network, which is mainly based on the BP(called Back BP Propagation). Nneural network has excellent characteristics, for example, which has characteristics of simple, universal approximation. Based on this, in the process of the research in this paper, we firstly bring the introduction of BP neural network nonlinear adaptive filter in nonlinear adaptive inverse control system, and secondly select the appropriate nonlinear adaptive inverse control structure, to improve the dynamic characteristics and disturbance rejection capability in the system.In the course of the study, first of all adaptive inverse control method is improved and applied for the control system of permanent magnet synchronous motor(PMSM) servo, at the same time, the strategies of adaptive inverse control system is researched and analysied, through this process, we discovery the defects of the traditional adaptive filtering algorithm, and then we puts forward in the transforming domain variable step size algorithm, based on this, we can track and control the system of more highly nonlinear, real time variable characteristics. Finally, in the course of this study, the PMSM servo control system were simulation by experiments,the experiments show that using the improved method, the tracking time is more little,and its accuracy is much higher. What is more, the robustness of the system is verygood.Through the experimental results show us that control method based on the nonlinear adaptive inverse control can solve the control problerms of the nonlinear and uncertain system maximize, especially in the more complex environment.