JOURNAL ARTICLE

Gain-scheduled Takagi-Sugeno fuzzy PI control methodology for LPV systems

Abstract

This work proposes a theoretical approach of gain-scheduled fuzzy PI control design based on gain and phase margins specifications for LPV (linear and parameters varying) systems, in the continuous time domain. A mathematical formulation from the Takagi-Sugeno fuzzy model structure as well as the PDC (parallel distributed compensation) strategy is developed. Analytical formulas are deduced for the PI subcontrollers parameters, in the robust fuzzy controller rules base, according to the fuzzy model parameters of the LPV plant to be controlled. Results of the necessary and sufficient conditions for the fuzzy controller design, from the proposed robust methodology, with one Axiom and two Theorems are also presented.

Keywords:
Control theory (sociology) Fuzzy control system Fuzzy logic Compensation (psychology) Controller (irrigation) Computer science Robust control Mathematics Control system Control (management) Engineering Artificial intelligence

Metrics

2
Cited By
0.38
FWCI (Field Weighted Citation Impact)
12
Refs
0.77
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Fuzzy Logic and Control Systems
Physical Sciences →  Computer Science →  Artificial Intelligence
Advanced Control Systems Optimization
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Control Systems Design
Physical Sciences →  Engineering →  Control and Systems Engineering

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