The Optimal Design And Application Of Immune Controller

As a new intelligent method, Artificial Immune System was subject to widespreadconcern.Some problems are difficult to resolve according to traditional methods,butimmune method can get better result.Therefore, the immune system has become a hottopic in recent years, and some research has been widely used in many fields.In this paper, we intend to resolve the problems of automatic control with immunemethod, the main content and results is as follows:First: The introduction of the artificial immune system, including the concept ofbiological immune system and the mechanism of the artificial immune system.Second: We derive a novel immune feedback controller for Pneumatic proportionalvalve-cylinder position control system, and then simulated in the MATLABenvironment. The simulation results show the better response and stability comparedto fuzzy controller. When the outside load changed, the controller still has goodcontrol effect, which is the fuzzy controller can not be achieved.Third: We improved the IFC controller and used in thermal power plants.Thesimulation results show the better response rate compare to fuzzy immune SmithController, when the parameters changed, the IFC controller has better adaption.Inorder to ensure the stability of system,we analy the ultra-stability of the control system.Fourth: We derive a immune genetic algorithm to optimize the IFC controller’sparameters. In proportional cylinder position control system, when the external loadincreased, the controller will produce overshoot and oscillation,we can deal with theproblem by immune genetic algorithm.The simulation results show the better controleffect.