International Journal of Vehicle Structures and Systems

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Optimized Fractional-Order Proportional Integral Derivative Controller for Active Vehicle Suspension System Performance Enhancement


Affiliations
1 Mataria, Helwan University, Cairo, Egypt
2 Helwan, Helwan University, Cairo, Egypt
 

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In this paper, an optimal Fractional Order Proportional Integral Derivative (FOPID) controller is applied in vehicle active suspension system to improve the ride comfort and vehicle stability without consideration of the actuator. The optimal values of the five gains of FOPID controller to minimize the objective function are tuned using a Multi-Objective Genetic Algorithm (MOGA). A half vehicle suspension system is modelled mathematically as 6 degrees-of-freedom mechanical system and then simulated using Matlab/Simulink software. The performance of the active suspension with FOPID controller is compared with passive suspension system under bump road excitation to show the efficiency of the proposed controller. The simulation results show that the active suspension system using the FOPID controller can offer a significant enhancement of ride comfort and vehicle stability.

Keywords

Half vehicle active suspension; Fractional order PID controller; Multi-objective genetic algorithm; Ride comfort
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Abstract Views: 325

PDF Views: 126




  • Optimized Fractional-Order Proportional Integral Derivative Controller for Active Vehicle Suspension System Performance Enhancement

Abstract Views: 325  |  PDF Views: 126

Authors

A. S. Emam
Mataria, Helwan University, Cairo, Egypt
H. Metered
Helwan, Helwan University, Cairo, Egypt
A. M. Abdel Ghany
Helwan, Helwan University, Cairo, Egypt

Abstract


In this paper, an optimal Fractional Order Proportional Integral Derivative (FOPID) controller is applied in vehicle active suspension system to improve the ride comfort and vehicle stability without consideration of the actuator. The optimal values of the five gains of FOPID controller to minimize the objective function are tuned using a Multi-Objective Genetic Algorithm (MOGA). A half vehicle suspension system is modelled mathematically as 6 degrees-of-freedom mechanical system and then simulated using Matlab/Simulink software. The performance of the active suspension with FOPID controller is compared with passive suspension system under bump road excitation to show the efficiency of the proposed controller. The simulation results show that the active suspension system using the FOPID controller can offer a significant enhancement of ride comfort and vehicle stability.

Keywords


Half vehicle active suspension; Fractional order PID controller; Multi-objective genetic algorithm; Ride comfort

References





DOI: https://doi.org/10.4273/ijvss.10.4.15