基于DHP方法的锅炉燃烧系统优化控制研究

电厂锅炉燃烧过程是一个典型的强非线性、多输入、多输出、强耦合过程,以这一直接影响机组安全经济运行的复杂过程控制为研究对象,研究火电厂锅炉燃烧系统的优化控制.首先,采用径向基函数神经网络(radial basis function neural network,RBFNN)对电厂锅炉燃烧系统进行了建模和模型测试.然后,用...

Research on optimal control in boiler combustion system based on DHP

Boiler combustion process for thermal power plant,which displays the features of strong non-linearity,multi-input,multi-output and close coupling control,is a typical researching object.Since the complex process control directly affects the security and economical operation of the units,this paper choosed the process as a researching object through probing into optimization control of boiler combustion system of thermal power plant.First,modeling to boiler combustion system based on RBFNN,and tested the model.Secondly,tried to achieve algorithmic derivation and program realization for applying RBFNN to design boiler combustion controller which was also under the direction of dual heuristic programming（DHP）optimization theory.Finally,the simulation experiments by MATLAB were made to indicate that the controller based on the algorithm was effective and the controller could achieve optimum ideal of combustion in the boiler with high efficiency and strong robustness.Eventually,the suggested system and used algorithm in the paper were also suitful to offer assistance for others complex industrial process.