A New General Type-2 Fuzzy Predictive Scheme for PID Tuning
Source abstract
Abstract
The proportional-integral-derivative controller is widely used in various industrial applications. But, in many noisy problems the strong methods are needed to optimize the proportional-integral-derivative parameters. In this paper, a novel method is introduced for adjusting the proportional-integral-derivative parameters through the model predictive control and generalized type-2 fuzzy-logic systems. The rules of suggested fuzzy system are online adjusted and the parameters of proportional-integral-derivative are tuned based on the fuzzy model such that a cost function to be minimized. The designed controller is applied on continuous stirred tank reactor and the performance is compared with other traditional approaches. The main advantages are that the accuracy is improved by online modeling and optimization and a predictive scheme is added to the conventional proportional-integral-derivative controller.
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Research context
OpenAlex topics: Fuzzy Logic and Control Systems · Advanced Control Systems Design · Advanced Control Systems Optimization
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Electrical Engineering, Ilam University, Ilam 6931647574, Iran
Control Systems and Instrumentation Department of Iranian Offshore Oil Company, Kharg, Bushehr 7546143572, Iran
Electrical Engineering Department, University of Bonab, Bonab 5551395133, Iran
Mechanical Engineering, Shahrood University of Technology, Shahrood 3619995161, Iran
Future Technology Research Center, National Yunlin University of Science and Technology, Douliu 64002, Taiwan
Department of Physics, Faculty of Applied Sciences, Palestine Technical University, Tulkarm P.O. Box 7, Palestine
Institute of Automatic Control, Lodz University of Technology, 18/22 Stefanowskiego St., 90-924 Lodz, Poland
Funding
Ministry of Science and Technology (MOST), Taiwan
References (32)
Show source-provided references
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