摘要
A new type controller, fuzzy neural networks sliding mode controller (FNNSMC), is developed for a class of large scale systems with unknown bounds of high order interconnections and disturbances. Although sliding mode control is simple and insensitive to uncertainties and disturbances, there are two main problems in the sliding mode controller (SMC): control input chattering and the assumption of known bounds of uncertainties and disturbances. The FNNSMC, which incorporates the fuzzy neural networks (FNN) and the SMC, can eliminate the chattering by using the continuous output of the FNN to replace the discontinuous sign term in the SMC. The bounds of uncertainties and disturbances are also not required in the FNNSMC design. The simulation results show that the FNNSMC has more robustness than the SMC.
针对一类具有高阶关联项的大系统提出了一种新型控制器———模糊神经网络滑模控制器，该控制器将模糊神经网络与滑模控制器有机结合，消除了一般滑模控制器中的高频颤动现象，同时不需要知道系统中的不确定性和扰动的上界．实例仿真说明了控制器不仅能得到好的控制效果。
