Faculty of Electrical and Computer Engineering, K. N. Toosi University of Technology, P.O. Box 16315-1355, Tehran 1431714191, Iran.
ISA Trans. 2012 Jan;51(1):132-40. doi: 10.1016/j.isatra.2011.08.008. Epub 2011 Oct 13.
In this paper, the design of decentralized switching control for uncertain multivariable plants is considered. In the proposed strategy, the uncertainty region is divided into smaller regions with a nominal model and specific control structure. The underlying design is based on the quantitative feedback theory (QFT). It is assumed that a MIMO-QFT controller exists for robust stability and performance of the individual uncertain sets. The proposed control structure is made up by these local decentralized controllers, which commute among themselves in accordance with the decision of a high level decision maker called the supervisor. The supervisor makes the decision by comparing the local models' behaviors with the one of the plant and selects the controller corresponding to the best fitted model. A hysteresis switching logic is used to slow down the switching to guarantee the overall closed loop stability. It is shown that this strategy provides a stable and robust adaptive controller to deal with complex multivariable plants with input-output pairing changes during the plant operation, which can facilitate the development of a reconfigurable decentralized control. Also, the multirealization technique is used to implement a family of controllers to achieve bumpless transfer. Simulation results are employed to show the effectiveness of the proposed method.
本文研究了不确定多变量系统的分散切换控制设计。在所提出的策略中，不确定性区域被划分为具有标称模型和特定控制结构的更小区域。底层设计基于定量反馈理论（QFT）。假设存在一个 MIMO-QFT 控制器，用于各个不确定集的鲁棒稳定性和性能。所提出的控制结构由这些局部分散控制器组成，它们根据称为监督者的高层决策者的决策进行交互。监督者通过将局部模型的行为与植物的行为进行比较，并选择与最佳拟合模型相对应的控制器来做出决策。采用滞后切换逻辑来减缓切换速度，以保证整个闭环稳定性。结果表明，该策略为处理在植物运行期间输入输出配对发生变化的复杂多变量系统提供了一个稳定和鲁棒的自适应控制器，这有助于开发可重构的分散控制。此外，多实现技术用于实现一组控制器以实现无冲击转移。仿真结果表明了所提出方法的有效性。
