Parametric Modeling Of Herringbone Gear Based On UG Secondary Development

Due to the nonlinear system control research has a wide application prospect, and canbe used as a universal method to solve the problem. In recent years attracted researchersattention. Nonlinear system can contain both continuous and discrete process, can be oneof a plurality of interconnected processes of organic combination. In the process ofindustrial production is widely existed phenomenon of time delay, time delay is a currentsystem state is used to condition the influence.The phenomenon of time delay system control process as many unavoidable part ofhad been noticed, and carried out a large number of research. Delay study a wide range offields, including many engineering systems, for example, the traditional mechanicalsystem, fluid analysis system, metallurgy forging process, network control process.This paper studies the control problem of the switched system, control system andcontrol theory research promotes the research, has a certain theoretical value and practicalvalue. The system has a triangular structure. For this class of system of existing literaturethere are seldom good controller design results. Our method based on Backstepping, usingLyapunov Krasovskii fan letter and integer Lyapunov eliminates the controller singularityand unknown time delay and uncertain, and the use of adaptive neural network toapproximate unknown nonlinear functions, design of neural network adaptive control law;secondly, the result shows that can ensure all the signals of the closed-loop systemsemi-globally uniformly ultimately bounded and the tracking error converges to the near asmall neighborhood of origin; finally, the simulation results verify the feasibility andeffectiveness of the controller.