一类新型自学习控制器及其在气动伺服系统中的应用

A NEW LEARNING CONTROLLER AND ITS APPLICATION TO PNEUMATIC SERVO SYSTEM

  • 摘要: 设计了一种新的学习控制律,它通过沿学习轴递推辨识学习增益矩阵以改善控制效果,并分别针对连续系统及离散系统设计了学习控制律,给出了相应的收敛性证明结果,同时考虑了系统存在噪声干扰及初始误差不为零时学习控制器收敛性条件,最后把它用于气动伺服系统位置控制,给出了相应仿真结果,结果表明本文提出的控制算法能达到很高控制精度.

     

    Abstract: This paper presents a new learning control law which can obtain learning gain matrices from a recursive identifier alone the learning axis. The controller is designed respectively in continuous and discrete time dynamic system, the system convergence is proved, and it is spread when there exists disturbances in the system and its initial error isn't zero in every iteration. Finally it is applied to pneumatic servo control system, the simulation results show its validity.

     

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