Pareto optimality based PID controller design for vehicle active suspension system using grasshopper optimization algorithm

Abstract In this paper, a Pareto multiobjective and grasshopper optimization algorithm (GOA) based optimum proportional–integral–derivative (P–I–D) controller design is proposed for improving the vehicle active suspension system dynamics under road disturbance conditions. The objectives considered are minimization of sprung mass deflection, tyre acceleration eigenvalue-based objective function. State space model quarter with P–I–D developed analyzing stability dynamic performance system. sinusoidal-based bump disturbances used testing robustness control technique. Simulation results have been presented to show advantage GOA-based over weighted genetic algorithm-based in terms