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An improved fuzzy integration control method without quantification

机译:一种改进的模糊积分控制方法,无量化

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In this paper, dynamic inversionmethod is used to decouple a multivariable system. Then by canceling traditional fuzzy quantification operation and based on analytical optimal correctionfunction and on-line interpolation, two improved design methods for fuzzy controllers are provided. A class of nonlinear PID controllers is formed when traditional PI controllers are joined after the improved fuzzy controllers immediately. Both methods can essentially remove the system's steady-state errors and flutter phenomenon, which are caused by the fuzzy quantification erros and regulating dead bands in the traditional fuzzy control system. Finally, by combining the improved fuzzy control methods with the dynamic inversion method, a kind of dynamic decoupling fuzzy integration control method for multivariable systems is contructed. The integration control system designed by this method possesses not only excellent decoupling results and better control performance, but also stronger adaptability to the parameter changes in the system. In addition, an example and its simulation results are also provided.
机译:在本文中,使用动态的inversionMethod用于解耦多变量系统。然后通过取消传统的模糊量化操作并基于分析最佳校正功能和在线插值,提供了两种改进的模糊控制器设计方法。当传统的PI控制器立即连接到改进的模糊控制器之后连接时,形成一类非线性PID控制器。两种方法都可以基本上去除系统的稳态误差和颤动现象,这是由传统模糊控制系统中的模糊量化erros和调节死区引起的。最后,通过将改进的模糊控制方法与动态反演方法相结合,对多变量系统进行了一种动态解耦模糊集成控制方法。由该方法设计的集成控制系统不仅具有出色的解耦结果和更好的控制性能,而且对系统参数变化的适应性更强。另外,还提供了一个例子及其仿真结果。

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