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伺服阀控气动系统的反演自适应控制研究

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为实现伺服阀控气动系统精度较高的位置轨迹跟踪控制,针对系统模型不确定性和外干扰等问题,设计一种基于不连续参数映射的反演自适应控制方法.首先,建立了非线性数学模型,将自适应控制理论与反演控制器设计方法相结合,运用不连续的参数映射确保参数在线估计有界.设计基于反演流程的自适应控制器抑制参数不确定性、未建模动态及参数估计误差,从而保证一定的稳态性能和较高的轨迹跟踪精度.利用AMESim与Simulink软件搭建阀控气动位置伺服系统及控制器的联合仿真模型,并进行仿真验证.研究结果表明:与反演控制器和PID控制器相比,反演自适应控制器的平均跟踪误差分别减小了48.4%和67.8%,跟踪误差的标准差分别减小了50.4%和57.2%.所设计的反演自适应控制器具有更好的轨迹跟踪控制性能,有效减小各种非线性因素对控制精度的影响,对干扰具有较强的鲁棒性.
Research on adaptive backstepping control of servo valve-controlled pneumatic system
To achieve high-precision position trajectory tracking control of servo valve-controlled pneumatic system,an adaptive backstepping control method based on discontinuous parameter mapping is designed to address the system model uncertainty and external disturbance.First,the working principle and structure of the valve-controlled position servo system are introduced and the nonlinear mathematical model is built.The adaptive control theory is combined with the backstepping controller design method and the discontinuous parameter mapping is employed to ensure the parameters are bounded online.An adaptive controller based on the backstepping process is designed to suppress parameter uncertainty,unmodeled dynamics and parameter estimation error in order to ensure a certain steady-state performance and high trajectory tracking accuracy.The joint simulation model of valve-controlled pneumatic position servo system and controller is built by employing AMESim and Simulink software.Our results show compared with the backstepping controller and PID controller,the average tracking error of the adaptive backstepping control algorithm is reduced by 48.4%and 67.8%,and the standard deviation of the tracking error is down by 50.4%and 57.2%.The designed adaptive backstepping controller delivers better trajectory tracking control performances,effectively reduces the impacts of various nonlinear factors on control accuracy and achieves a strong robustness against interference.

pneumatic servo systemadaptive backstepping controldiscontinuous parameter mappingtrajectory trackingrobustness

程丰浩、孙春耕、刘靖、韩锡镇

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昆明理工大学 机电工程学院,昆明 650504

气动伺服系统 反演自适应控制 不连续参数映射 轨迹跟踪 鲁棒性

2024

重庆理工大学学报
重庆理工大学

重庆理工大学学报

CSTPCD北大核心
影响因子:0.567
ISSN:1674-8425
年,卷(期):2024.38(23)