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车辆悬挂系统自抗扰控制器改进及其性能分析
引用本文:黄大山,张进秋,刘义乐,毕占东.车辆悬挂系统自抗扰控制器改进及其性能分析[J].农业工程学报,2017,33(2):61-72.
作者姓名:黄大山  张进秋  刘义乐  毕占东
作者单位:装甲兵工程学装备试用与培训大队,北京,100072
基金项目:军内科研计划项目(2013ZB06);总装创新工程项目(2015YY04)
摘    要:针对基于车辆状态的主动控制难以协调改善车辆乘坐舒适性和操纵稳定性等指标的问题,将自抗扰控制引入悬挂系统,设计了一种同时考虑比例、积分、微分的非线性状态误差反馈的自抗扰控制器,以改善车辆的行驶特性。给出了综合考虑悬置质量加速度和车轮动载荷的悬挂系统综合性能评价指标,用以分析算法对悬挂系统改善的有效性。对标准天棚主动控制和改进的自抗扰控制算法进行仿真对比分析,结果表明,标准天棚主动控制仅能够改善乘坐舒适性,而改进的自抗扰控制可同时提高车辆的乘坐舒适性和操纵稳定性,并且其综合性能提高了18.89%;通过改变悬置质量、行驶路面和行驶速度,对改进的自抗扰控制器的鲁棒性进行仿真分析,结果表明,采用改进的自抗扰控制的悬挂系统的乘坐舒适性、操纵稳定性和综合性能的波动幅度均小于3%,该算法具有较强的鲁棒性。通过悬挂台架试验系统对改进的自抗扰控制进行试验验证,相比于被动悬挂,其乘坐舒适性、操纵稳定性和综合性能分别提高了13.31%、10.25%和22.19%,说明了改进算法振动控制的有效性;改变悬置质量、行驶路面和行驶速度,悬挂系统综合性能的相对波动幅度同样小于3%,验证了改进的自抗扰控制算法的鲁棒性。

关 键 词:车辆  控制  算法  悬挂系统  主动控制  自抗扰控制  综合性能评价
收稿时间:2016/3/3 0:00:00
修稿时间:2016/12/7 0:00:00

Improved active disturbance rejection controller on suspension system and its performance analysis
Huang Dashan,Zhang Jinqiu,Liu Yile and Bi Zhandong.Improved active disturbance rejection controller on suspension system and its performance analysis[J].Transactions of the Chinese Society of Agricultural Engineering,2017,33(2):61-72.
Authors:Huang Dashan  Zhang Jinqiu  Liu Yile and Bi Zhandong
Institution:Department of Equipment Testing & Training, Academy of Armored Force Engineering, Beijing 100072, China,Department of Equipment Testing & Training, Academy of Armored Force Engineering, Beijing 100072, China,Department of Equipment Testing & Training, Academy of Armored Force Engineering, Beijing 100072, China and Department of Equipment Testing & Training, Academy of Armored Force Engineering, Beijing 100072, China
Abstract:Abstract: To solve the problem of the contradiction of improving riding comfort and handling stability of suspension system at the same time with active control algorithm, the active disturbance rejection control was selected and improved to lower suspended mass acceleration and dynamic load of tire of suspension system simultaneously after the consideration and comparison of 4 kinds of control algorithms, which were based on state, classic control theory, optimal control theory and intelligent optimization theory, respectively. Suspended mass acceleration and dynamic load of tire were combined as the feedback signal, which was compared with the reference input signal to generate the state error, and then a nonlinear state error feedback control law was provided which took all the terms of proportion, integration and differentiation of state error into consideration. A comprehensive performance assessment criterion on suspension system was established considering both suspended mass acceleration and dynamic load of tire, and it could be used to assess the effectiveness of the improvements on suspension system comprehensive performance with the improved control algorithm. The formula of comprehensive performance assessment criterion was established based on quartic power function, which could magnify the effect of control algorithm on different vibration features of suspension system and different riding performances of vehicle. Then a parameter tuning method of the improved active disturbance rejection controller was stated based on the analysis on the functions and influences of different parameters, the reference ranges of which were provided for effective design of control algorithm. Simulations were made to compare and analyze the performance of the standard skyhook active control suspension system, the standard active disturbance rejection control suspension system and the improved active disturbance rejection control suspension system. The results showed that: 1) Both suspended mass acceleration and dynamic tire deformation of suspension system were reduced by 17.68% and 1.78%, the riding comfort and handling stability of vehicle were more advanced with the improved active disturbance rejection control compared with the standard skyhook active control and the standard active disturbance rejection control, and the comprehensive performance of vehicle with the improved active disturbance rejection control was much better than that with the other two; 2) As to the analysis in frequency domain, the transmissibility of suspended mass acceleration of suspension system with the improved active disturbance rejection control could be depressed in low resonance frequency range, medium frequency range and high frequency range, and both the transmissibility of dynamic tire deformation and the suspension working space with that could be suppressed in low resonance frequency range, which were the major working ranges in improving the transmissibility of suspension system; 3) All the relative fluctuations of riding comfort, handling stability and comprehensive performance of vehicle with the improved active disturbance rejection control algorithm were less than 2%, 4% and 2% respectively as the variation of suspended mass, road excitation level and vehicle velocity, which indicated the robustness of the improved active disturbance rejection control was the strongest one among them. Bench tests of suspension system were conducted to compare and analyze the performances of the passive suspension system and the improved active disturbance rejection control suspension system. The results showed that: 1) All the measured data were a litter larger than the simulation data because of the differences between simulation parameters and bench parameters, the measurement noise and the non-adhesive feature between the springs and the masses; 2) Both suspended mass acceleration and dynamic tire deformation of suspension system were lowered with the improved active disturbance rejection control in experimentation, and the comprehensive performance of vehicle was improved remarkably, which fitted the simulation results; 3) All the relative fluctuations of comprehensive performance of vehicle with the improved active disturbance rejection control were lower than 3% as the variation of suspended mass, road excitation level and vehicle velocity, which demonstrated the strong robustness of the improved active disturbance rejection control algorithm.
Keywords:vehicles  control  algorithms  suspension system  active control  active disturbance rejection control  comprehensive performance assessment
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