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Fuzzy predictive PI control for processes with large time delays
Author(s) -
Ranganathan Rayanallur S.,
Malki Heidar A.,
Chen Guanrong
Publication year - 2002
Publication title -
expert systems
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.365
H-Index - 38
eISSN - 1468-0394
pISSN - 0266-4720
DOI - 10.1111/1468-0394.00186
Subject(s) - control theory (sociology) , computer science , model predictive control , fuzzy logic , robustness (evolution) , pid controller , fuzzy control system , controller (irrigation) , term (time) , control engineering , control (management) , artificial intelligence , temperature control , engineering , agronomy , biochemistry , chemistry , biology , gene , physics , quantum mechanics
This paper presents the design, tuning and performance analysis of a new predictive fuzzy controller structure for higher order plants with large time delays. The designed controller consists of a fuzzy proportional‐integral (PI) part and a fuzzy predictor. The fuzzy predictive PI controller combines the advantages of fuzzy control while maintaining the simplicity and robustness of a conventional PI controller. The dynamics of the prediction term are adaptive to the system’s time delay. The prediction term has two parts: a fuzzy predictor that uses the system time delay as an input for calculating the prediction horizon and an exponential term that uses the prediction horizon as its positive power. The prediction term also introduces phase lead into the system which compensates for the phase lag due to the time delay in the plant, thereby stabilizing the closed‐loop configuration. The performance of the proposed controller is compared with the responses of the conventional predictive PI controller, showing many advantages of the new design over its conventional counterpart.