Proportional plus integral plus derivative control of nonlinear full-car electrohydraulic suspensions using global and evolutionary optimization techniques

被引:9
作者
Dahunsi, Olurotimi A. [1 ]
Dangor, Muhammed [1 ]
Pedro, Jimoh O. [1 ]
Ali, M. Montaz [2 ,3 ]
机构
[1] Univ Witwatersrand, Sch Mech Ind & Aeronaut Engn, 1 Jan Smut Ave,Private Bag 03, ZA-2050 Johannesburg, South Africa
[2] Univ Witwatersrand, Fac Sci, Johannesburg, South Africa
[3] Univ Witwatersrand, TCSE, Fac Engn & Built Environm, Sch Computat & Appl Math, Johannesburg, South Africa
关键词
Proportional plus integral plus derivative control; active vehicle suspension system; controlled random search; particle swarm optimization; differential evolution; PARTICLE SWARM OPTIMIZATION; ACTIVE VEHICLE SUSPENSION; NEURAL-NETWORK; SYSTEM; ALGORITHM; DESIGN;
D O I
10.1177/1461348419842676
中图分类号
O42 [声学];
学科分类号
070206 ; 082403 ;
摘要
Resolving the trade-offs between suspension travel, ride comfort, road holding, vehicle handling and power consumption is the primary challenge in the design of active vehicle suspension system. Multi-loop proportional + integral + derivative controllers' gains tuning with global and evolutionary optimization techniques is proposed to realize the best compromise between these conflicting criteria for a nonlinear full-car electrohydraulic active vehicle suspension system. Global and evolutionary optimization methods adopted include: controlled random search, differential evolution, particle swarm optimization, modified particle swarm optimization and modified controlled random search. The most improved performance was achieved with the differential evolution algorithm. The modified particle swarm optimization and modified controlled random search algorithms performed better than their predecessors, with modified controlled random search performing better than modified particle swarm optimization in all aspects of performance investigated both in time and frequency domain analyses.
引用
收藏
页码:393 / 415
页数:23
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