The Intelligent Sliding Mode Control Of Nonlinear Systems

Present identification and control of nonlinear systems research has become a hot research and cutting-edge domestic and international issues, for the establishment of the differential geometry of nonlinear systems based on static decoupling and feedback linearization control, will make nonlinear system of local linear models out of range of movement restrictions and small, to achieve a wide range of system analysis and synthesis. However, differential geometric control system must rely on accurate mathematical model, and the actual control system is often subject to delay, parameter uncertainties and external disturbances, which makes the system analysis and design to bring very difficult. Sliding mode control for the control of complex nonlinear systems opened up a wide range of applications, thus the variable structure control study has important application value.However, variable structure control chattering caused by high frequency applied to the actual system is a lot of practical obstacles. So many of the other advanced control technologies such as: adaptive control, fuzzy control, neural network control has also been applied to the integrated sliding mode control system design to order to solve the sliding mode control system chattering at the same time also try to keep the variable structure with performance.This paper is the control study for the specific nonlinear object on the basis of the current situation of the synovial theory at home and abroad. It combines the advantages of fuzzy control and the sliding mode control structure to improve the external parameter perturbation and the influence of the interference with external disturbances. At the same time, the bottleneck problems caused by high-frequency chattering in the practical application can be eliminated by the joint control algorithm between the sliding mode and the fuzzy control. Several issues faced in the current sliding mode control theory are also further researched. The control strategy described in this paper not only can suppress the difficulties of the practical application on the high-frequency chattering, but also has ideal self-tuning adaptive performance and perfect robustness. Finally, the new control algorithm proposed by using an inverted pendulum system is verified and the results show that the inverted pendulum system can be controlled successfully.