基于混沌优化的模糊神经网络在交流调速控制中的应用

Application of Fuzzy Neural Network Based on Chaos Optimization in AC Speed Regulation

针对交流调速系统高精度、快响应的要求,提出了基于模拟退火策略的混沌优化算法的模糊神经网络控制方案。仿真与实验结果表明,该控制方法用于交流调速系统具有无振荡、较高的精度和较强的鲁棒性、抗干扰能力等。

This paper puts forward the fuzzy neural network control scheme based on chaos optimization algorithm and the simulated annealing strategy, contraposing the demand for high precision and quick response of AC speed regulation system. Simulation and experimental results show that the control method applied to AC speed regulation system has no vibration, higher precision, strong robustness and anti - jamming ability, etc.