基于神经网络的多指灵巧手控制研究
NEURAL-NETWORK-BASED CONTROL FOR MULTIFINGERED HAND
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摘要: 本文提出用人工神经网络和常规PID控制器构成复合控制器,控制多指灵巧手的运动.系统在跟踪阶段用神经网络控制器,而在稳态阶段用PID控制器,利用PID算法的积分特性去消除稳态误差.实验证明这种复合形式的控制器,满足机器人伺服控制的速度和精度要求.Abstract: This paper discusses one kind of neural-network-based controller for path control of a multifingered robot hand. We use a neural network controller during the tracking period and use a normal PID controller during the steady period. Experimental results show that the performance of this kind of controller is good.