An Intelligent PID Controller Based on Fuzzy System

Xu, Huiling; Dong, Guang; Shi, Weili; Qu, Fufa; Han, Yun-ming

doi:10.1109/iceee.2010.5661319

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Fuzzy System2

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Cited by 2 publications

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“…Rule base can be shown as a set of several IF-THEN rules. Through combing these IF-THEN rules, fuzzy inference engine will decide how to map the fuzzy set of input domain of discourse The leading problem of a pure fuzzy system is that its input variable and output variable are all fuzzy sets, whereas, the input and output in engineering system are all real-valued variables [10,11].…”

Section: Fuzzy Systemmentioning

confidence: 99%

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Intelligent PID Controller on Soft Computing

Xu¹,

Di²,

Yang³

et al. 2012

JCP

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The PID control algorithm is used for the control of almost all loops in the process industries, and is also the basis for many advanced control algorithms and strategies. For complex systems, controller's structure and parameters need to rely on experience and on line tuning to determine. Application of soft computing techniques can realize selftuning of controller parameters. In this paper, the author applies fuzzy system, neural network technique and genetic algorithm to PID controller in order to achieve intelligent adjustment the controlled variables. Simulation results show that the application of soft computing techniques in the controller has better control quality.

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Section: Fuzzy Systemmentioning

confidence: 99%

“…The center average defuzzifier can be defined as the following equation (10). Where, l y is the center of the l th fuzzy set; l ω is the height.…”

Section: Fuzzy Systemmentioning

confidence: 99%