Chaotic multi-objective optimization based design of fractional order PIλDμ controller in AVR system

Abstract

In this paper, a fractional order (FO) PIλDμcontroller is designed to take care of various contradictory objective functions for an Automatic Voltage Regulator (AVR) system. An improved evolutionary Non-dominated Sorting Genetic Algorithm II (NSGA II), which is augmented with a chaotic map for greater effectiveness, is used for the multi-objective optimization problem. The Pareto fronts showing the trade-off between different design criteria are obtained for the PIλDμand PID controller. A comparative analysis is done with respect to the standard PID controller to demonstrate the merits and demerits of the fractional order PIλDμcontroller.

30 pages, 14 figures

References in corpus (2)

• On the Selection of Tuning Methodology of FOPID Controllers for the Control of Higher Order Processes
• Handling Packet Dropouts and Random Delays for Unstable Delayed Processes in NCS by Optimal Tuning of PIλDμ Controllers with Evolutionary Algorithms

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• On the Mixed H2/H-infinity Loop Shaping Trade-offs in Fractional Order Control of the AVR System
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