Intelligent Control Study On Electro-Hydraulic Servo Systems

In recent years, electro-hydraulic servo system has been applied to aviation and metallurgy fields etc. widely. It integrates with the characteristics of electrics and hydraulic pressure aspects, and has many advantages such as high control precision, fast response speed, big output power, disposing signal agilely, and achieving various parameters' feedback easily and so on.However, with the increasing of control quality request, the status of electro-hydraulic servo system PID control fluctuates. That is decided mainly by the typical unknown and uncertain nonlinear system of electro-hydraulic servo system, which gains precise maths model of system difficultly. Though the maths model can be set up, its model is always so complex that it makes the analysis, design and practice of the traditional control method based on precise maths model more difficult. The third era intelligent control that is based on knowledge and not reliant to the precise maths model gives new ideas for solving these problems. Fuzzy control and neural network control are two kinds of important methods in the artificial intelligent control. In addition, Genetic algorithm with its strong space search capacity is applied to optimize function, robot technology, control, programming, design, image disposal aspects and so on widely. This paper based on the content above integrates fuzzy control, neural network control with GA to control electro-hydraulic servo system. It is just to research the intelligent control of electro-hydraulic servo system.The following will introduce the main work finished:First, A robust control system based on fuzzy neural network with collateral self-learning tracking control structure is presented that combines the typical unknown and uncertain non-linear electro-hydraulic servo system. Moreover, author improves on fuzzy neural network structure into T-S model RBF neural network structure. Simulation results indicate its effectiveness.Second, An optimization method of fuzzy controller based on GA is presented that integrates fuzzy control with GA well, which remedies a kind of rough method that usually confirms the subjection function according to experiences. Applying it to electro-hydraulic displacement servo system, its simulation results indicate the effectiveness of this scheme.Third, utilizing the characteristic that layered fuzzy controller approaches and simplies fuzzy control rules, and combines GA's capacity to search the optimization roundly to control the electro-hydraulic displacement servo system. Its simulation results indicate the effectiveness of this scheme.