摘要
设计了一种在线可调整的模糊控制器,其模糊控制规则表可以用解析的方法进行计算。不仅体现了模糊 控制算法对非线性系统具有的明显优势,而且利用LMS自适应模块调整模糊控制器的修正因子,改善单一模糊控制算法 对专家先期经验的依赖缺陷。针对简化的汽车模型,在以单频信号作为激励源的仿真研究过程中,该算法对悬架系统的 振动控制收到了较好的效果。在两自由度的悬架系统试验台架上进行了试验研究,结果进一步证明该算法的有效性。
An adjustable fuzzy controller of which the fuzzy control rule table can be obtained by numerical calculation is designed. Because the algorithm can adjust the rectification factor of fuzzy controller with the Least Means Squares (LMS) method, it not only can reflect the advantage of fuzzy logic in nonlinear system but also can improve the disadvantage of common fuzzy control method which is strongly dependent on human experiences. For two degrees of freedom vehicle model, the simulation of vehicle performance under the excitation of single frequency, signal is studied, its results show the adjustable fuzzy controller can evidently reduce the acceleration of the suspended mass. According to the experiment results with the vehicle model, the algorithm is further improved and the effective control of vibration of vehicle system is achieved.
出处
《振动与冲击》
EI
CSCD
北大核心
2005年第1期13-17,共5页
Journal of Vibration and Shock
