一类时变系统的多模型切换动态调节控制算法
Multiple models switching and dynamic tuning control algorithm for a class of time-varying systems
摘要点击 534  全文点击 131  投稿时间:2019-11-04  修订日期:2020-08-12
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DOI编号  10.7641/CTA.2020.90917
  2020,37(12):2501-2510
中文关键词  多模型  切换动态调节  双切换机制  动态分配  自适应控制
英文关键词  multiple models  switching and dynamic tuning  dual switching mechanism  dynamic allocation  adaptive control
基金项目  国家重点研发计划项目(2018YFB1701103), 国家自然科学基金项目(61673268), 国家自然科学基金重大项目(61890930–3), 中央高校基本科研业 务费专项资金项目(222201917006)资助.
作者单位E-mail
王岩 华东理工大学化工过程先进控制和优化技术教育部重点实验室 1019672679@qq.com 
王昕 上海交通大电工与电子技术中心 wangxin26@sjtu.edu.cn 
王振雷 华东理工大学化工过程先进控制和优化技术教育部重点实验室  
中文摘要
      当被控对象参数所在的不确定区域未知时, 多模型切换调节等控制算法虽然最终可以使系统达到期望特 性, 但随着不确定区域的增大, 系统需要增加大量的模型才能满足快速性等方面上的要求. 因此, 为了实现一类时 变系统在只增加少量模型时便能够满足期望控制性能的目标, 提出了多模型切换动态调节控制算法. 此算法在不 确定区域内分配若干上层模型, 在双切换机制的监督下, 利用动态分配方法, 在最优上层模型所在的子区域分配出 若干下层模型, 在与自适应模型的协作中, 设计最优控制器, 保证了系统的暂态和稳态响应. 在数值仿真与故障卫星 系统的仿真研究中, 结果表明了多模型切换动态调节算法在暂态性能方面优于多模型切换调节算法, 并验证了此算 法的有效性.
英文摘要
      When the uncertain region where the parameters of the controlled object are located is unknown, although control algorithms such as multiple models switching and tuning can eventually make the system achieve the desired characteristics. However, with the increase of the uncertain region, the system needs to add a large number of models to meet the requirements of rapidity and other requirements. Therefore, in order to achieve the goal that a class of timevarying systems can meet the desired control performance when only a small number of models are added, a multiple models switching and dynamic tuning control algorithm is proposed. This algorithm allocates several upper layer models in the uncertain region. Under the supervision of the dual switching mechanism, the dynamic allocation method is used to allocate several lower layer models in the sub-region where the optimal upper layer model is located. In cooperation with the adaptive model, the optimal controller is designed to ensure the transient and steady state response of the system. In the numerical simulation and the simulation research of the fault satellite system, the results show that the multiple models switching dynamic tuning algorithm is superior to the multiple models switching and tuning algorithm in transient state, and the effectiveness of the algorithm is verified.