基于模糊控制原理,对传统模糊控制器进行了简化,以提高实时执行效率.采用三角形隶属函数,简化Larsen积运算和解析式模糊规则,检测输入语言变量的激活水平,仅对有效的模糊规则进行操作,从而降低内存消耗和计算量.小车倒立摆系统倒立摆角度控制的仿真试验证明了算法的有效性.
Based on the fuzzy control principle, a simplified fuzzy controller (SFC) was developed to improve the efficiency of real-time implementation. The SFC employed triangle membership function, simplified Larsen product inference method and formulated fuzzy rule base. It minimized the amount of memory and computation time by determining the contribution level of input languisitc values and then only operating those effective fuzzy rules. In simulation test, the proposed controller performed the pole angle control in the inverted pendulum system, and the results show its effectiveness.