Differential Evolution-Based PID Control of Nonlinear Full-Car Electrohydraulic Suspensions

Author:

Pedro Jimoh O.1,Dangor Muhammed1,Dahunsi Olurotimi A.1,Ali M. Montaz23

Affiliation:

1. School of Mechanical, Industrial and Aeronautical Engineering, University of the Witwatersrand, 1 Jan Smuts Avenue, Private Bag 03, WITS 2050, Johannesburg, South Africa

2. School of Computation and Applied Mathematics, University of the Witwatersrand, 1 Jan Smuts Avenue, Private Bag 03, WITS 2050, Johannesburg, South Africa

3. TCSE, Faculty of Engineering and Built Environment, University of the Witwatersrand, 1 Jan Smuts Avenue, Private Bag 03, WITS 2050, Johannesburg, South Africa

Abstract

This paper presents a differential-evolution- (DE-) optimized, independent multiloop proportional-integral-derivative (PID) controller design for full-car nonlinear, electrohydraulic suspension systems. The multiloop PID control stabilises the actuator via force feedback and also improves the system performance. Controller gains are computed using manual tuning and through DE optimization to minimise a performance index, which addresses suspension travel, road holding, vehicle handling, ride comfort, and power consumption constraints. Simulation results showed superior performance of the DE-optimized PID-controlled active vehicle suspension system (AVSS) over the manually tuned PID-controlled AVSS and the passive vehicle suspension system (PVSS).

Publisher

Hindawi Limited

Subject

General Engineering,General Mathematics

Cited by 19 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Modeling and Simulation of Suspension for Electric Vehicle: Comfort vs. Road Holding Trade-offs;2023 International Conference on Modeling, Simulation & Intelligent Computing (MoSICom);2023-12-07

2. Global-guidance chaotic multi-objective particle swarm optimization method for pneumatic suspension handling and ride quality enhancement on the basis of a thermodynamic model of a full vehicle;Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering;2023-01-17

3. Tuning of PID Controller with Differential Evolution Algorithm for LCC Resonant Converter;Journal of Physics: Conference Series;2021-07-01

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