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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 unit control system is a multivariable and strongly coupled control system with nonlinear, coupling and delay characteristics. Its performance has a direct impact on the safety and economy of unit operation. In order to effectively solve the coupling characteristic and dynamic nonlinearity of the coordinated control system of thermal power unit, a decoupling control method based on multi-model and support vector machine (SVM) inverse system is designed and the corresponding experimental research is carried out. Aiming at the experimental simulation model of a 300 MW unit, the linearization model of the unit at 5 typical working points is obtained. Then the SVM inverse model and its dynamic PID controller are designed for each linearization model, and then the model is linearly combined Multi-model global control system. Through the weighted polynomial selection and synthesis of multi-model control method, we can solve the nonlinear problem caused by large-scale load changes. The combination of support vector machine and inverse system can solve the strong coupling problem of nonlinear system. Simulation studies prove the effectiveness and superiority of this control algorithm design.