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一种新型的二维PID模糊控制器 被引量:10

A New Two-Dimension PID Fuzzy Controller
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摘要 通过对常规PID控制器的结构分析,设计出一种新型的二维PID模糊控制器,其结构形式简称为fuzzy PD+fuzzy ID型。根据模糊规则的图解分析,提出fuzzy ID控制器的输入变量(偏差和偏差变化加速率)与输出变量之间的控制结构,并确定两控制器的模糊控制规则的相似性。通过对该PID模糊控制器的结构分析,给出与常规PID控制器系数KP、KI、KD之间的解析关系,表明该PID模糊控制器本质上是一种非线性的PID控制器。仿真结果表明比fuzzy PD和fuzzy PI控制性能优越。 Analyzed the structure of conventional PID controller,a new two-dimension PID fuzzy controller,namely fuzzy PD+ fuzzy ID is designed.According to the Analysis of the fuzzy rules,control structure between inputs,including error,rate of change of error,and output of fuzzy ID is suggested;the conclusion that the two fuzzy control rules are similar is reached.Then the mathematical Analytical expression of Parameters between fuzzy controllers and linear gains coefficients KP,KI,KD of conventional PID controllers is got based on the structure analysis of fuzzy controllers,which shows that the PID fuzzy controller is a nonlinear PID controller in nature.The simulation research result shows that its control feature is better than that of the fuzzy PD and fuzzy PI.
出处 《控制工程》 CSCD 北大核心 2011年第4期623-626,共4页 Control Engineering of China
基金 国家自然科学重点基金(60634020)
关键词 PID控制 PID模糊控制器 非线性 模糊规则 PID control PID fuzzy controller Nonlinear fuzzy rule
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参考文献9

  • 1M. Golob. Decomposed fuzzy proportional- integral- derivative con- trollers [ J]. Appl, Soft Comput ,2001,1 ( 3 ) :201-214.
  • 2J. H. Kim,S. J. Oh. A fuzzy PID controller ibr nonlinear and uncer- tain systems[ Jl. Soft Computing,2000,4 ( 1 ) :123-129.
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二级参考文献11

  • 1Golob M. Decomposed fuzzy proportional-integralderivative controllers [J]. Applied Soft Computing,2001, 1(3): 201-214.
  • 2Kim J H, Oh S J. A fuzzy PID controller for nonlinear and uncertain systems[J]. Soft Computing, 2000, 4 (2) : 123-129.
  • 3Mohan B M, Sinha A. Analytical structure and stability analysis of a fuzzy PID controller [J]. Applied Soft Computing, 2008, 8(1): 749-758.
  • 4Kyoung Kwan Ahn, Nguyen Bao Kha. Modeling and control of shape memory alloy actuators using Preisach model, genetic algorithm and fuzzy logic [J]. Mechatronics, 2008, 18(3):141-152.
  • 5Yau-Tarng Juang, Yun-Tien Chang, Chih-Peng Huang. Design of fuzzy PID controllers using modified triangular membership functions[J]. Information Sciences, 2008, 178(5) : 1325-1333.
  • 6Iglesias E, Garcia Y, Sanjuan M, et al. Fuzzy surface- based sliding mode control[J]. ISA Transactions, 2007, 46(1) : 73-83.
  • 7Amin Haj-Ali, Hao Ying. Structural analysis of fuzzy controllers with nonlinear input fuzzy sets in relation to nonlinear PID control with variable gains [J]. Automatica, 2004, 40(9) :1551-1559.
  • 8Bhattacharya S, Chatterjee A, Munshi S. A new self- tuned PID-type fuzzy controller as a combination of twoterm controllers[J]. ISA Transactions, 2004, 43 (3) : 413-426.
  • 9Dragan D Kukolj, Slobodan B Kuzmanovi, Emil Levi. Design of a PID-like compound fuzzy logic controller[J]. Engineering Applications of Artificial Intelligence, 2001, 14(6): 785-803.
  • 10Jialiang Lu, Guanrong Chen, Hao Ying. Predictive fuzzy PID control: Theory, design and simulation[J]. Information Sciences, 2001, 137(1-4): 157-187.

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