Algorithm Research Of Human-Simulited Intelligent Control

Although human-simulated intelligent control has already formed completetheory system and design methods, and also has achieved certain success in application,it has many problems. In application it has some successful algorithms, but it is notabundant and systemic enough. In theory, it has elementary theory frame, but it lacksfor the researches of many material academic questions. The author does someresearches of Human-simulated intelligent control on the algorithms of operatingcontrol level based on a great lot of domestic and foreign literature.According to the different stages of system output, HSIC with NPID is presentedby applying nonlinear proportional, integral and the differential part, and then eachpart is analyzed.From the point of view of weakness of constant parameters in HSIC, the authorputs GA into closed-loop control to adjust each controlled parameter and suppressioncoefficient on-line according to the algorithm based on the extreme value of error.In view of characteristics of non-minimum phase objects the author improves thealgorithm and obtains a kind of human-simulated intelligent algorithm which is moresuitable for non-minimum phase object based on human-simulated intelligent integralalgorithm, using some research achievements in recent years and the author's ownimprovement viewpoint.For optimizing fuzzy controller, variable universe theory, conception ofcontraction and expansion factor are discussed. Thereby human-simulated intelligentcontrol with variable universe fuzzy control comes into being, in which ratio switchingand intelligent integral are introduced in order to suppress system disturbance generatedby changing manipulative variable and the system error.All the algorithms mentioned above are simulated and the simulation resultsprove the validity of the methods.