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作 者:郑恩辉[1] 曹文浩[1] 刘兆磊[1] 柯海森[1] 孙坚[1]
机构地区:[1]中国计量学院机电与工程学院,浙江杭州310018
出 处:《控制工程》2012年第4期590-593,共4页Control Engineering of China
基 金:国家自然科学基金(60905034);浙江省自然科学基金(Y1080950)
摘 要:火力单元机组协调控制系统是一个多变量、强耦合的控制系统,具有非线性、耦合和延迟等特性,其性能直接影响单元机组运行的安全性和经济性。为了有效解决火力单元机组协调控制系统的耦合特性和动态非线性,设计了基于多模型和支持向量机(SVM)逆系统的解耦控制方法,并进行了相应实验研究。针对一个300 MW单元机组的试验仿真模型,得到单元机组在5个典型工作点的线性化模型,然后对每个线性化模型分别设计SVM逆模型及其动态PID控制器,进而用模型线性组合成多模型全局控制系统。通过加权多项式选取合成的多模型控制方法,可以解决负荷大范围变化引起的非线性问题;支持向量机与逆系统的结合能很好地解决非线性系统的强耦合问题。仿真研究证明了这种控制算法设计的有效性和优越性。The coordinated control system in the boiler-turbine unit is a complicated multivariable and strong coupling system with the characteristics of nonlinearity, coupling and delay ect. The performance of the control system has great impact on the safety and economy of a power unit. In order to solve the problem of nonlinear and couple characteristics of the coordinated control system, the decoupling control based on the support vector machines (SVM) ath-order inversion and multi-model is proposed and studied experimentally. From the model of a 300 WM unit, five representative equilibrium working point of the model are obtained; a dynamic decouple PID controller and SVM ath-order inverse model for each linear model is designed and a global controller of the coordinated control system by the linear combination of multi-models. Multi-model of weighted polynomial solves problems of nonlinearity during large load variations. SVM is combined with the inverse system to solve the strongly coupling of nonlinear system. Simulation has testified the validity and advantages of the control algorithm.
分 类 号:TP273[自动化与计算机技术—检测技术与自动化装置]
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