Control of Uncertain Time-Varying Systems Based on Robust Predictive Control Technique and Localized Time-Frequency Concepts

本研究项目采用鲁棒预测控制技术和局部化时频概念，对电厂等不确定时变系统中的锅炉启停过程进行控制。具体地说，它开发了降低计算复杂性的次优鲁棒控制器的综合策略。这些控制算法为发电厂的下一代运行机制提供了技术支持，也为未来控制驱动的发电厂设计和其他复杂的机械系统提供了指导。该方法利用了H-无穷生产控制方法的扩展，以及一种对时变情况下未建模对象动态的评估和表示方法。在此基础上，提出了一种新的时变对象鲁棒预测控制的时频局部化框架，该框架利用小波变换降低了控制律计算的复杂性，并利用模型不确定性的时频局部化表示降低了控制器的保守性。

This research projects deals with control of the start-up and shut-down of boilers in uncertain time-varying systems such as power plants using robust predictive control techniques and localized time-frequency concepts. Specifically, it develops strategies for synthesis of suboptimal robust controllers of reduced computational complexity. Such control algorithms serves as enabling technologies for the next generation operating regimes for power plants as well as a guide for the future control-driven power plant designing and other complex mechanical systems. The approach utilizes an extension of H-infinity productive control methodology, and a method of evaluation and representation of unmodeled plant dynamics to time varying case. On this basis it develops a new time-frequency localized framework for robust predictive control of time-varying plants which utilizes the wavelet-based complexity reduction o the computation of control laws, and reduction in controller conservativeness due to the time-frequency localized representation of model uncertainty.