Pareto Optimal Robust Design of Fuzzy Fractional-Order Pid Controllers

Abstract:

In this paper, a multi-objective uniform-diversity genetic algorithm (MUGA) is used for Pareto optimum design of fuzzy fractional-order PID controllers for plants with parametric uncertainties. Two conflicting objective functions have been used in Pareto design of the fuzzy fractional-order PID controller. The results clearly show that an effective trade-off can be compromisingly achieved among the different fuzzy fractional-order PID controllers obtained using the methodology of this work and to achieve a robust design against the plant’s uncertainties.

• Periodical: Advanced Materials Research (Volumes 403-408)
• Pages: 4735-4742
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.403-408.4735
• Online since: November 2011
• Authors: Nader Nariman Zadeh, Amir Hajiloo
• Keywords: Component, Fractional-Order PID Controllers, Fuzzy, Optimization, Robust Control

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