提出一种具有神经网络补偿的状态反馈控制方法并用于液压伺服位置控制系统。
This paper proposes a state feedback control strategy with a neural network compensator, which is applied in a hydraulic position servo system.
并就机械手伺服控制系统的速度调节、位置检测与反馈、各关节动作的协调等方面的设计作了说明。
Meanwhile, the speed regulation, position detection and feedback, movement coordination of each joint in the servo control system of this manipulator are described in the article.
设计的灰色反馈线性化控制系统可以实现间接磁场定向感应伺服电机来跟踪速度给定。
The designed grey feedback linearization control system was implemented in an indirect field-oriented induction servo motor to track speed commands.
而机器人控制系统将对接收回来的反馈信息拆包解密，结合机器人的当前状态，运用视觉伺服机器人数学模型控制机器人到达相应的位置。
The robotic control system will drive the robot to the proper position according to the feedback data and the current state of the robot.
而机器人控制系统将对接收回来的反馈信息拆包解密，结合机器人的当前状态，运用视觉伺服机器人数学模型控制机器人到达相应的位置。
The robotic control system will drive the robot to the proper position according to the feedback data and the current state of the robot.
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