Research On Three-phase Asynchronous Motor Speed Control System Based On Pid Neural Network

Vector control technology is belang to high-performance frequency conversion speed control technology in the field of AC speed control, nowadays, it get embedded study, and broad application based on its high-quality. However, the easy-changed rotor resistance has an influence on the account accuracy of rotor magnetic linkage, the angle accuracy of rotor magnetic linkage affect the orient accuracy.The emergence of intellect control method based on artificial neural network provides AC speed control system performance with effective control mode. To combine intellect control technology with vector control mode has become the study hotspot of operators on electric drive in both domestic and other counties, but none of them have reached the cosmically application, the study of neural network controller combine conventional controller is still going on. Therefore, researches on these aspects are significant. PID neural network is a kind of dynamic network, unlike conventional neural network, it's sample in stuctrue and stable. This thesis bring the PID neural network control mode into AC drive system, and combined with conventionality control mode, Trying to improve system's dynamic-state behavior and robustness on new control mode.This thesis, based on PID neural network theory, trying to use PID neural network control arithmetic into induction machine speed control, and combined with vector control to design more excellent speed control system. According to the application of neural network in auto control system at the present time, two neural network speed controllers were designed in this thesis, one is to make the SPIDNN as speed controller, and bring forward SPIDNN self-adaptive controller, the other use the MPIDNN neural network to construct dynamic-inverse system of AC induction machine, realize the nonlinear system's decoupling and linearization. Basing on particular expatiate on control theory and algorithm, this paper utilize MATLAB/Simulink emulated tool platform with interactive function and make a emulation study of it, the result indicate that the application of PID neural network makes the control system more effective.