Prioritization-based switched feedback control for linear SISO systems with time-varying state and input constraints

Steffen Joos, M. Bitzer, R. Karrelmeyer, K. Graichen
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引用次数: 2

Abstract

The problem of stabilization by means of state feedback is discussed for linear single input single output systems while satisfying time-varying polytopic constraints on both the states and the control input. The core of the switched control concept derived in this work is a standard state feedback controller, stabilizing the system in the unconstrained case, whereas its control signal is optimally limited in order to achieve feasibility of the states and the input in the constrained case. For the derivation of the limiting function, feasible dynamic limits are designed which correspond to one additional control law per constraint. A switching logic for these limits is then constructed with the solution of an optimization problem. Thereby, an explicit order of constraints prioritization is taken into account in order to obtain a unique switching logic. Throughout the derivation, the property of differential flatness is exploited, which allows the reduction of the respective system to the control of a (constrained) integrator chain. The performance of the control approach as pure feedback as well as in a constrained two-degree-offreedom setup is finally discussed by means of simulation studies. Furthermore, a comparison of the achieved results with a model predictive control approach is carried out.
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具有时变状态和输入约束的线性SISO系统的基于优先级的切换反馈控制
讨论了线性单输入单输出系统在满足状态和控制输入的时变多面体约束条件下的状态反馈镇定问题。本文导出的切换控制概念的核心是一个标准状态反馈控制器,它在无约束情况下稳定系统,而在有约束情况下,它的控制信号被最优限制以实现状态和输入的可行性。对于极限函数的推导,设计了可行的动态极限,每个约束对应一个附加控制律。然后利用优化问题的解构造这些极限的切换逻辑。因此,考虑了约束优先级的显式顺序,以获得唯一的切换逻辑。在整个推导过程中,利用微分平坦性的特性,将各自的系统简化为(约束)积分器链的控制。最后通过仿真研究讨论了该控制方法在纯反馈和受限二自由度设置下的性能。并与模型预测控制方法进行了比较。
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