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基于BWO算法的电液伺服作动器位置控制系统PID参数整定

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提出了基于白鲸优化(BWO)算法的PID参数整定方法,设计了基于BWO算法的PID控制器(BWO-PID),建立了主动悬架电液伺服作动器位置控制系统数学模型,在MATLAB/Simulink中与基于Ziegler-Nichols参数整定方法设计的PID控制器进行仿真对比。结果表明:在BWO-PID控制下,输入信号为阶跃信号时,系统的调整时间减少了68。61%,响应快速无超调;输入信号为正弦信号时,系统的抗干扰性和鲁棒性更强;输入信号为随机路面激励时,作动器位移响应误差的最大绝对值与均方根值分别降低了54。16%和53。85%。
PID Parameter Tuning for Position Control System of Electro-hydraulic Servo Actuator Based on BWO Algorithm
A proportional integral derivative(PID)parameter tuning method based on the beluga whale optimization(BWO)algorithm was proposed,and the PID controller based on the BWO algorithm(BWO-PID)was designed.A mathematical model of the position control system of an active suspen-sion electro-hydraulic servo actuator was developed,and the simulation results were compared with the PID controller based on the Ziegler-Nichols algorithm in MATLAB/Simulink.The experimental results show that under the control of the BWO-PID,when the step signal was input,the tuning time of the sys-tem is reduced by 68.61%,and the response is fast without overshooting.When the sinusoidal signal was input,the system has stronger anti-interference and robustness.When the random road excitation was input,the maximum absolute value and root-mean-square value values of the actuator displace-ment response error are decreased by 54.16%and 53.85%,respectively.

active suspensionelectro-hydraulic servo controlactuatorPID parameter tuningBWO

王梦超、刘仁君、郭庆贺、周慧慧、郭世鲁、徐伟亮

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湖北汽车工业学院,湖北 十堰 442002

汽车动力传动与电子控制湖北省重点实验室,湖北 十堰 442002

潍柴雷沃智慧农业股份有限公司,山东 潍坊 261000

主动悬架 电液伺服控制 作动器 PID参数整定 BWO

2024

湖北汽车工业学院学报
湖北汽车工业学院

湖北汽车工业学院学报

影响因子:0.304
ISSN:1008-5483
年,卷(期):2024.38(4)