基于计算型模糊推理算法的模糊控制器设计  

Design of fuzzy controller based on calculation model of fuzzy reasoning algorithm

作　　者：李战明[1] 张永江[1,2] 

机构地区：[1]兰州理工大学电气工程与信息工程学院 [2]中国人民解放军69223部队

出　　处：《计算机工程与应用》2014年第14期259-264,共6页Computer Engineering and Applications

基　　金：甘肃省高校基本科研业务费资助项目(2011年)

摘　　要：针对传统模糊推理算法在推理过程中容易忽略部分推理信息,模糊规则一旦确定就难以调整的缺点,提出一种基于数值计算的模糊推理算法。算法采用数值计算的方法对推理过程进行了改进,这种改进能够充分考虑所有输入的影响,又能根据输入的变化,对模糊规则进行适当的调整。基于该算法的模糊控制器能够大大提高控制性能和精度,减小稳态误差。通过对直流电动机的仿真控制效果表明,该控制器比传统模糊控制器的控制性能好,精度高,抗干扰能力强。According to shortcomings of the traditional fuzzy reasoning algorithms easy to ignore part reasoning informa-tion in the reasoning process, but also the fuzzy rules once decide can not adjust, this paper puts forward a kind of calcula-tion model of fuzzy reasoning algorithm. The algorithm, which using numerical calculation method for reasoning calcula-tion, has been improved the reasoning process. This approach can fully consider the influence of all inputs, and also can adjust the fuzzy rules according to change of the inputs. The controller, which based on this algorithm, can greatly improve controlling performance and the controlling precision, reduce the steady-state error. The simulation of DC-motor control effect shows that the controller is better than the traditional fuzzy controller, it has good control performance, high preci-sion and strong anti-interference ability.

关 键 词：模糊推理算法 模糊控制器 推理性能 

分 类 号：TP181[自动化与计算机技术—控制理论与控制工程]