摘要
针对一类不确定多输入多输出(MIMO)非线性系统,提出了一种新的间接自适应模糊控制设计方案,解决了提高模糊控制精度问题。该方法对模糊逻辑系统中的未知参数设计了一种新的自适应学习律,证明了在此自适应律作用下,不但能使跟踪误差收敛到原点的小邻域内,而且通过适当增大设计参数值,可使跟踪误差减小,提高了控制精度。通过对连续发酵过程控制的仿真研究验证了该方法的有效性。
To the problem of improving fuzzy control accuracy,a novel indirect adaptive fuzzy control scheme is proposed for a class of uncertain multi-input and multi-output nonlinear systems.The adaptive laws for unknown parameters in fuzzy logic systems are designed.It is proved that the adaptive laws not only make the tracking errors converge to the small neighborhood of the origin,but also reduce the tracking errors by increasing the value of designed parameters,so as to improve the control accuracy.Simulation results on controlling a continuous fermentation process show the efficiency of the proposed approach.
出处
《控制工程》
CSCD
2008年第4期374-377,共4页
Control Engineering of China
基金
河北科技师范学院博士基金资助项目(2006D003)
国家自然科学基金重点资助项目(90405017)
“973”计划课题基金资助项目(2002CB312205)
关键词
非线性系统
自适应控制
模糊控制
稳定性
发酵过程
nonlinear systems
adaptive control
fuzzy control
stability
fermentation process
