【作者】 陈彦桥；

【导师】 刘吉臻；

【作者基本信息】 华北电力大学（河北） ， 热能工程， 2004， 博士

【摘要】 火电单元机组机炉协调控制系统是一个复杂的多变量非线性控制系统。针对此控制系统，众多先进控制算法已经得到了初步应用，并且已经解决了一些控制难题。但目前电力系统急需解决的单元机组经常性大范围变负荷问题，却还没有很好地解决。为解决此问题，本文研究了模糊多模型控制方法及其相关理论。本文的研究内容集中在如下几个方面：根据非线性系统平衡流型和非线性测度的定义，提出了关于平衡流型参数的相对非线性测度的概念，据此绘出了一个具体单元机组机炉协调控制系统模型的相对非线性测度曲线，对此协调控制系统非线性模型进行了线性化，并用隶属度加权的方法将各线性化模型连接成协调控制系统T-S模糊模型。提出了一种以多变量IMC或鲁棒控制作为局部模型控制器、以T-S模糊模型作为监督器内部模型的模糊监督控制算法，并对其全局稳定性给出了一种证明方法。根据单元机组机炉协调控制系统T-S模糊模型，设计了模糊监督控制系统，对其全局稳定性进行了验证，并对此监督控制系统的定值跟踪性能、抗内部扰动性能、监督器参数对监督控制系统品质的影响以及模糊监督控制与模糊变结构控制的本质联系等问题进行了研究。给出了一种将控制系统的稳定性要求、输入-输出限制、动态性能指标要求等问题均统一到一组LMI的凸优化问题求解上的定值跟踪多变量PDC控制算法。根据单元机组机炉协调控制系统的T-S模糊模型设计了PDC控制算法，并与采用鲁棒控制器作为局部模型控制器的模糊监督控制进行了对比。这种PDC控制设计方法，克服了一般模糊控制设计方法对控制系统稳定性和动态性能指标等问题无法进行有效分析的弱点。分析了DEB400存在的动态过渡品质较差等问题，组态了一个具体的500MW单元机组的模糊监督协调控制系统，对相关的前馈设计、机炉控制回路状态重构等问题进行了研究，并对协调控制系统目前存在的主要问题及发展方向进行了探讨。更多还原

【Abstract】 The coordinated control system (CCS) for boiler-turbine unit is a rather complicated multi-variable nonlinear control system.Many advanced control algorithms have been found to have preliminary, successful applications in the system.Some control difficulties have been overcome.However, the problems encountered with the frequent load change of large magnitude, which are badly needed to tackle in electrical industries, are still unsolved.In order to give some hints on the solution of these problems, we have studied in this dissertation a fuzzy rule based multiple model control scheme and its related theories.Our study addresses the following topics:A conception of relative nonlinear measure on the equilibrium manifold parameter has been derived based on the definitions of equilibrium manifold and nonlinear measure about nonlinear system.And the nonlinear measure curve of a material boiler-turbine CCS model has been drawn.From the curve, we linearised the CCS nonlinear model and constructed the T-S fuzzy model of the unit by linking together the linear models of the unit with membership functions.A kind of fuzzy supervisory control system in which using the multi-variable inner model controller or robust controller as its local controller and T-S fuzzy model as the inner model of the supervisory controller has been proposed.And a kind of theory on its global asymptotical stability has been presented.From the T-S model of a CCS, the fuzzy supervisory controller has been provided.We proved the global asymptotical stability of the supervisory control system, studied the problems like performance of setpoint following, performance to inner disturb, the affection of supervisory controller’s parameters to the control system and the intrinsical relationship on fuzzy supervisory control and fuzzy variable structure control.A setpoint following multi-variable PDC control algorithm has been introduced, in which the problems of stability demand, input-output constrains, dynamic performance etc.are all solved by a set of LMI convex optimization algorithm.The PDC control algorithm has been presented from the T-S fuzzy model of a CCS, the research to the CCS model between the PDC control and the fuzzy supervisory control in which using robust controller as its local controllerhas been conducted.The PDC algorithm can overcome the weaknesses of normal fuzzy control about stability and dynamic performance analyzing.After analyzing the shortages like dynamic process performance etc.of DEB400, a practical application of the fuzzy supervisory control on a 500MW turbine-generator unit is presented in this paper.The correlative problems like feedforward, restructure the state variable of boiler-turbine control loop etc.have been studied.Finally, we analyzed the main problems existed in CCS at present, and gave some viewpoints on the future development on CCS.更多还原