1. 太原理工大学机械与运载工程学院,太原,030024
2. 先进半导体光电器件与系统集成山西省重点实验室,山西,晋城,048000
3. 晋城市光机电产业研究院,山西,晋城,048000
: 2023-12-15。作者简介: 张勇(1997—),男,硕士生
汪成文(通信作者),男,副教授,硕士生导师。基金项目: 国家自然科学基金资助项目(51505316)
纸质出版:2024
移动端阅览
张勇, 汪成文, 赵二辉, 等. 压力脉冲测试系统滑模抗干扰控制方法[J]. 西安交通大学学报, 2024,58(5):64-74.
ZHANG Yong, WANG Chengwen, ZHAO Erhui, et al. Sliding Mode Anti-Disturbance Control Method for Pressure Pulse Testing System[J]. 2024, 58(5): 64-74.
张勇, 汪成文, 赵二辉, 等. 压力脉冲测试系统滑模抗干扰控制方法[J]. 西安交通大学学报, 2024,58(5):64-74. DOI: 10.7652/xjtuxb202405007.
ZHANG Yong, WANG Chengwen, ZHAO Erhui, et al. Sliding Mode Anti-Disturbance Control Method for Pressure Pulse Testing System[J]. 2024, 58(5): 64-74. DOI: 10.7652/xjtuxb202405007.
针对压力脉冲测试系统运用滑模控制在体积切换时抖振突出的问题
提出一种滑模抗干扰控制方法。采用奇异值摄动理论对压力脉冲测试系统进行降阶简化
方便控制器的设计以及应用。根据系统降阶模型
构建扩张状态观测器
用于估计系统中的不确定参数和工件体积切换等未知干扰
并将估计的干扰值作为前馈信号补偿给滑模控制器
从而减小干扰不确定上界
减小切换增益来达到抑制抖振的目的。通过选择合适的Lyapunov函数对所提控制方法的稳定性进行了推导证明
使用AMESim、Matlab/Simulink构建的联合仿真平台进行仿真分析
并通过压力脉冲测试台进行了实验验证。研究结果表明:在整体跟踪性能方向
传统滑模控制方法相较于PID方法提升了21.10%
而所提控制方法相较于PID方法提升了30.86%
所提控制方法可以有效估计与补偿未知干扰
实现更小切换增益的同时保持控制精度
在工件体积切换时有效抑制了滑模抖振
提高了系统的抗干扰能力。
A sliding mode anti-disturbance control method is proposed to solve the problem of chattering during volume switching in the application of sliding mode control in the pressure pulse testing system. The pressure pulse testing system is reduced and simplified by applying singular perturbation theory
facilitating the design and application of the controller. Based on the reduced-order model of the system
an extended state observer is constructed to estimate unknown disturbances such as uncertain parameters in the system and volume switching of the workpiece. The estimated disturbance values are then used as feedforward signals to compensate the sliding mode controller
thereby reducing the upper bound of disturbance uncertainty
thus achieving the goal of reducing the switching gain to mitigate chattering. The stability of the proposed control method is derived and demonstrated through the selection of an appropriate Lyapunov function. Simulation analysis is conducted using a joint simulation platform built with AMESim and Matlab/Simulink
and experimental verification is performed using the pressure pulse testing platform. The research results indicate that in terms of overall tracking performance
traditional sliding mode control has improved by 21.10% compared to PID
while the proposed control method has improved by 30.86% compared to PID. The proposed control method can effectively estimate and compensate for unknown disturbances
achieve smaller switching gains while maintaining control accuracy. During the volume switching of workpiece
it effectively reduces sliding mode chattering
enhancing the system's anti-disturbance capability.
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