摘要
为了克服风选气动系统所面临的不确定性,确保其在外部扰动和测量噪声的干扰下具有一定的鲁棒性,同时保持良好的控制精度,提出了一种基于粒子群算法的高增益滑模控制策略对风选气动系统进行控制。一方面,利用高增益滑模观测器实现对系统状态的估计,并克服了系统建模的不确定性。另一方面,基于实际的风选气动系统设计了一种滑模控制器,且通过粒子群算法进行自适应参数调优,实现了风选气动系统的控制精度、抗扰性以及抗噪性的提升。此外,利用李亚普诺夫定理对系统的稳定性进行了分析和讨论。最后,通过大量的对比仿真验证了所提方法的有效性和优越性。
To overcome the uncertainty faced by the pneumatic separating system,ensure its robustness under the interference of external disturbance and measurement noise,and maintain good control accuracy,this paper pro‐poses a high-gain sliding mode control strategy based on particle swarm optimization algorithm to control the pneu‐matic separating system.On the one hand,a high-gain sliding mode observer is used to estimate the state of the system and overcome the modelling uncertainty.On the other hand,a sliding mode controller is designed based on the practical pneumatic separating systemto ensure the stability of the system,and the particle swarm optimization algorithm is used to adaptively optimize the parameters to improve the control accuracy,disturbance rejection abil‐ity and anti-noise capability of the pneumatic separating system.In addition,the stability analysis of the system is discussed through Lyapunov’s theorem.Finally,the effectiveness and superiority of the proposed method are veri‐fied by a large number of comparative simulations.
作者
李勇
丁瑞
马孝宗
王照亚
梅圳
LI Yong;DING Rui;MA Xiao-zong;WANG Zhao-ya;MEI Zhen(China Tobacco Henan Industrial Co.,Ltd.,Zhengzhou 450000;College of Electrical Engineering,Sichuan University,Chengdu 610065)
出处
《制造业自动化》
2025年第5期46-53,共8页
Manufacturing Automation
关键词
风选气动系统
高增益滑模控制
粒子群
抗扰
抗噪
pneumatic separating system
high-gain sliding mode control
particle swarm optimization algo‐rithm
anti-disturbance
anti-noise
