基于计算型模糊推理算法的模糊控制器设计

计算机工程与应用 ›› 2014, Vol. 50 ›› Issue (14): 259-264.

基于计算型模糊推理算法的模糊控制器设计

李战明1，张永江1，2

1.兰州理工大学电气工程与信息工程学院，兰州 730050
2.中国人民解放军 69223部队

出版日期:2014-07-15 发布日期:2014-08-04

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

LI Zhanming1, ZHANG Yongjiang1，2

1.College of Electric Engineering and Information Engineering, Lanzhou University of Technology, Lanzhou 730050, China
2.Unit 69223 of PLA, China

Online:2014-07-15 Published:2014-08-04

摘要/Abstract

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。

关键词: 模糊推理算法, 糊控制器, 推理性能

Abstract: According to shortcomings of the traditional fuzzy reasoning algorithms easy to ignore part reasoning information in the reasoning process, but also the fuzzy rules once decide can not adjust, this paper puts forward a kind of calculation model of fuzzy reasoning algorithm. The algorithm, which using numerical calculation method for reasoning calculation, 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 precision and strong anti-interference ability.

Key words: fuzzy reasoning algorithm, fuzzy controller, reasoning performance

李战明1，张永江1，2. 基于计算型模糊推理算法的模糊控制器设计[J]. 计算机工程与应用, 2014, 50(14): 259-264.

LI Zhanming1, ZHANG Yongjiang1，2. Design of fuzzy controller based on calculation model of fuzzy reasoning algorithm[J]. Computer Engineering and Applications, 2014, 50(14): 259-264.

[1]	时光，刘健辰，陈忠华，郭凤仪，姜国强. 基于DE-EDA多目标优化的受电弓模糊控制[J]. 计算机工程与应用, 2016, 52(1): 229-232.
[2]	张建忠，兰小丰，张天颜，徐敬东. MSRep：利用模糊控制的邮件服务器信誉度生成算法[J]. 计算机工程与应用, 2011, 47(10): 80-84.
[3]	肖会芹. 垃圾焚烧过程自适应模糊复合控制策略[J]. 计算机工程与应用, 2010, 46(3): 201-203.
[4]	田东平^1,2. 一种改进的模糊自适应遗传算法[J]. 计算机工程与应用, 2008, 44(31): 60-63.
[5]	刘丽、何华灿 . 五种倒立摆控制器对比研究 [J]. 计算机工程与应用, 2006, 42(30期): 3-.