摘要
针对工业过程中一阶纯滞后系统Smith补偿控制方法易受模型不确定性或扰动影响的问题,提出了一种改进的Smith-IFT控制方法。首先利用过程模型,通过优化灵敏度函数的H_(∞)范数设计Smith控制器C_(1),以提升系统输出性能;同时,采用迭代反馈整定(IFT)方法设计数据驱动控制器C_(2),并更新预估模型和控制器C_(1),以降低模型不确定性或扰动的影响。以实际工业过程纸浆浓度控制为例,仿真验证了所提方法的有效性。与其他两种方法相比,改进的Smith-IFT控制方法具有超调量小、调节时间短和鲁棒性强等优势。
A modified Smith-IFT control method is proposed to tackle the problem of model uncertainty or disturbances in the Smith compensation control method for first-order time-delay systems in industrial processes.The Smith controller C_(1) is first designed by optimizing the H_(∞)norm of the sensitivity function using the process model to enhance the output performance of system.Meanwhile,The iterative feedback tuning(IFT)method is adopted to design the data-driven controller C_(2) and update the estimated model and controller C_(1) to reduce the influence of model uncertainty or disturbances on the system.Taking pulp concentration control in an actual industrial process as an example,the simulations verify the effectiveness of the proposed method.Compared to the other two methods,the modified Smith-IFT control method has advantages such as small overshoot,short settling time and strong robustness.
作者
杜星瀚
曹轩玮
刘奇
DU Xing-han;CAO Xuan-wei;LIU Qi(College of Electrical Engineering and Automation,Jiangsu Normal University,Xuzhou 221116)
出处
《制造业自动化》
2025年第2期19-26,共8页
Manufacturing Automation
基金
国家自然科学基金(62003152)。
关键词
滞后系统
Smith补偿控制
迭代反馈
模型不确定
time-delay systems
smith compensation control
iterative feedback tuning
model uncertainty
