摘要
自适应控制是一种提高系统鲁棒性的有效方法。模糊神经网络具有了模糊逻辑和神经网络两者的优点,结合模糊神经网络(Fuzzy Neural Network-FNN)自适应控制策略和通用模型控制(Common Model Control-CMC)方法,以此来实现被控对象的逆控制,提出了基于模糊神经网络的通用模型自适应控制(FNNC-CMAC)。此控制方法参考轨迹是一条典型二阶曲线,仿真结果验证了鲁棒性,与基于模糊神经网络的通用模型控制及基于模糊逻辑的通用模型自适应控制相比,其控制性能更好。
Adaptive control is one of effective methods to improve robustness of the control system FNN has the advantages both of fuzzy logic and neural network. Combine FNN adaptive control scheme with CMC method to realize the inverted control so the chapter presents FNNC-CMAC. The reference trajectory is a classic second order curve in the above control method. The simulation results validate the robustness of the common model adaptive control based on FNN, which the resuUt is better than common model control based on FNN and common model adaptive, ptive control based on fuzzy logic.
出处
《自动化与仪器仪表》
2009年第5期9-11,共3页
Automation & Instrumentation
