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

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

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.