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

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.

کلیدواژه ها:

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