Pareto Optimal Design of a Fuzzy Adaptive Robust Fractional-order PID Controller for an Active Suspension System

Mahmoodabadi, Mohammad Javad; Ansarian, abolfazl; Zohari, tayebeh

doi:10.22068/ase.2025.703

Volume 15, Issue 3 (9-2025) ASE 2025, 15(3): 4784-4795 | Back to browse issues page

‎ 10.22068/ase.2025.703

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Mahmoodabadi M J, Ansarian A, Zohari T. Pareto Optimal Design of a Fuzzy Adaptive Robust Fractional-order PID Controller for an Active Suspension System. ASE 2025; 15 (3) :4784-4795
URL: http://www.iust.ac.ir/ase/article-1-703-en.html

Pareto Optimal Design of a Fuzzy Adaptive Robust Fractional-order PID Controller for an Active Suspension System

Mohammad Javad Mahmoodabadi

, Abolfazl Ansarian

, Tayebeh Zohari

Department of Mechanical Engineering, Sirjan University of Technology

Abstract: (647 Views)

This research proposes a robust fuzzy adaptive fractional-order proportional-integral-derivative (PID) controller for an active suspension system of a quarter-car model. For this, the research first designed the PID controller using chassis acceleration and relative displacement. Next, it utilized the chain derivative rule and the gradient descent mechanism to formulate adaptation rules based on integral sliding surfaces. In the next step, the control parameters were regulated by employing a fuzzy system comprising the product inference engine, singleton fuzzifier, and center average defuzzifier. Eventually, the optimum gains of the proposed controller were determined by running a multi-objective material generation algorithm (MOMGA). Simulation results implied the superiority of the proposed controller over other controllers in handling road irregularities.

Keywords: Fractional-order PID controller, Multi-objective algorithm, Active suspension system, Adaptive robust control, Quarter-car model, Fuzzy system

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Type of Study: Research | Subject: Vibration, noise, Acoustic