The control performance evaluation of the selected On-line robust MPC approaches

J. Oravec, M. Bakosová
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引用次数: 0

Abstract

The on-line robust constrained MPC is able to handle the system uncertainties and optimize the control performance. The paper describes the case study of chemical reactor stabilization in unstable operating point using four robust MPC approaches. The control scenarios were based on the worst-case optimization and the nominal system optimization. Moreover, the control strategies differ in usage of the single Lyapunov function and the parameter-dependent Lyapunov functions. The simulation results confirmed that using the nominal system optimization improved the control performance and the value of the cost function was reduced.
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所选在线鲁棒MPC方法的控制性能评价
在线鲁棒约束MPC能够处理系统的不确定性,优化控制性能。本文介绍了应用四种鲁棒MPC方法实现化学反应器不稳定工作点稳定化的实例研究。控制方案基于最坏情况优化和标称系统优化。此外,控制策略在单个Lyapunov函数和参数相关Lyapunov函数的使用上有所不同。仿真结果表明,标称系统优化提高了控制性能,降低了成本函数的值。
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