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

Autor: Srinivasa Rao Gampa, Siva Kumar Mangipudi, Kiran Jasthi, Mahesh Babu B., Preetham Goli, D. Das, Valentina E. Balas
Jazyk: angličtina
Rok vydání: 2022
Předmět:
Zdroj: Journal of Electrical Systems and Information Technology, Vol 9, Iss 1, Pp 1-18 (2022)
Druh dokumentu: article
ISSN: 2314-7172
DOI: 10.1186/s43067-022-00065-y
Popis: 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 Pareto objectives considered are minimization of sprung mass suspension deflection, tyre deflection, sprung mass acceleration minimization and eigenvalue-based objective function. State space model for quarter vehicle active suspension system with P–I–D controller is developed for analyzing the stability and dynamic performance of the system. The sinusoidal-based bump road disturbances are used for testing the robustness of the proposed control technique. Simulation results have been presented to show the advantage of the proposed Pareto multiobjective and GOA-based P–I–D controller over the weighted multiobjective and genetic algorithm-based P–I–D controller in terms of stability and dynamics of the active suspension system.
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