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Two-layer model predictive control of systems with independent dynamics and shared control resources

机译:具有独立动力学和共享控制资源的系统的两层模型预测控制

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This paper describes an approach to the design of a controller for a system made by dynamically decoupled subsystems. Each subsystem is endowed with local actuators that, in normal operating conditions, are able to compensate for disturbances and to provide the required control action. If, due to too large disturbances, the local control action is not sufficient, the actuators of the neighbouring subsystems can provide the required control contribution. The control scheme is designed according to a hierarchical approach: at the lower layer local Model Predictive Controllers (MPC) are used to compute the required control action. The information about any shortage or excess of control is sent to a supervisor that, if needed, re-balances the local control actions to guarantee global disturbance rejection properties. A simulation example concerning the coordination of small electrical grids is discussed to show the performances of the proposed solution.
机译:本文介绍了一种通过动态解耦的子系统为系统设计控制器的方法。每个子系统都配备有本地执行器,这些执行器在正常工作条件下能够补偿干扰并提供所需的控制动作。如果由于过大的干扰而导致的本地控制作用不足,则相邻子系统的执行器可以提供所需的控制作用。控制方案是根据分层方法设计的:在较低层,使用本地模型预测控制器(MPC)来计算所需的控制动作。有关任何控制不足或控制过度的信息将发送到主管,如果需要,主管将重新平衡本地控制措施,以确保全局抗扰性。讨论了有关小电网协调的仿真示例,以显示所提出解决方案的性能。

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