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Dynamic Safety Constraints by Scenario Based Economic Model Predictive Control

机译:基于场景的经济模型预测控制动态安全约束

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This paper studies use of scenario based model predictive control (MPC) to control a plant into a fault-tolerant state set. For some systems it is not always sufficient that the controller is reconfigured after a fault, it is also necessary that the system is in a given state set when the fault occurs in order to guarantee that the constraints are not violated. This is often achieved by using static safety constraints. However, it may be hard to find such constraints, and they may be conservative. This article presents a method for implementing dynamic safety constraints based on fault scenarios with an economic MPC. The controller is tested using closed-loop simulations.
机译:本文研究了基于场景的模型预测控制(MPC)来控制植物进入容错状态集。对于某些系统,在故障之后重新配置并不总是足够的,在发生故障时,系统也必须在给定状态设置,以便保证不违反约束。这通常是通过使用静态安全约束来实现的。然而,可能很难找到这种约束,并且它们可能是保守的。本文介绍了一种基于具有经济MPC的故障方案实现动态安全约束的方法。使用闭环模拟测试控制器。

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