基于小脑模型神经网络的对称阀控非对称缸复合控制方法

Cerebellar Model Articulation Controller Based Compound Control Method for Symmetrical Valve Controlled Asymmetrical Piston

  • 摘要: 针对对称阀控非对称缸系统的不对称性和非线性,为了提高系统控制精度,分析了该系统的工作特性,提出了基于小脑模型神经网络(CMAC)的控制策略,设计了CMAC复合控制器;为验证CMAC复合控制器的有效性,进行了实验研究,并与普通的PID控制器进行比较.实验表明,基于CMAC的复合控制方法无须精确获取系统数学模型和负载状态,适合于对称阀控非对称缸系统的实时控制.

     

    Abstract: According to the asymmetry and nonlinearity of the symmetrical valve controlled asymmetrical piston system, in order to improve control precision of the system, the work characteristic of the system is analyzed, then a new control method based on the cerebellar model articulation controller(CMAC) is advanced, and the CMAC compound controller is designed. Experiments have been developed to verify the effectivity of the new compound control method, and the results compared with PID control show that the new method based on CMAC needn't obtain the mathematic model and the loading condition accurately, which is suitable for the real-time control of symmetrical valve controlled asymmetrical piston system.

     

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