控制理论(社会学)
PID控制器
非线性系统
主动悬架
悬挂(拓扑)
粒子群优化
偏转(物理)
工程类
执行机构
控制工程
计算机科学
数学
控制(管理)
物理
温度控制
电气工程
人工智能
同伦
纯数学
光学
量子力学
机器学习
作者
Yufei Hu,Jianze Liu,Zhuang Wang,Jingming Zhang,Jiang Liu
出处
期刊:Sensors
[MDPI AG]
日期:2024-03-02
卷期号:24 (5): 1644-1644
摘要
In this study, an electric oil and gas actuator based on fractional-order PID position feedback control is proposed, through which the damping coefficient of the suspension system is adjusted to realize the active control of the suspension. An FOPID algorithm is used to control the motor's rotational angle to realize the damping adjustment of the suspension system. In this process, the road roughness is collected by the sensors as the criterion of damping adjustment, and the particle swarm algorithm is utilized to find the optimal objective function under different road surface slopes, to obtain the optimal cornering value. According to the mathematical and physical model of the suspension system, the simulation model and the corresponding test platform of this type of suspension system are built. The simulation and experimental results show that the simulation results of the fractional-order nonlinear suspension model are closer to the actual experimental values than those of the traditional linear suspension model, and the accuracy of each performance index is improved by more than 18.5%. The designed active suspension system optimizes the body acceleration, suspension dynamic deflection, and tire dynamic load to 89.8%, 56.7%, and 73.4% of the passive suspension, respectively. It is worth noting that, compared to traditional PID control circuits, the FOPID control circuit designed for motors has an improved control performance. This study provides an effective theoretical and empirical basis for the control and optimization of fractional-order nonlinear suspension systems.
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