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摘要: 针对由n个传动器所驱动的n个关节机器人系统,采用学习控制的方法讨论了其跟踪 控制的问题.首先通过变换降阶,将相应系统转化为低阶系统,然后针对低阶系统进行设计.该 方法消除了Kawamara方法在学习过程中要求每次学习都要经过相同的初始值的限制,从而克 服了Kawamara方法难以应用到“学习过程中存在初态偏差”的困难.仿真结果说明了此方法的 有效性和优越性.Abstract: By using learning control scheme the paper discusses tracking control for n joint robotic systems driven by n actuators. First, corresponding systems are turned into lower order systems by transformational reduction of order, and then the lower order systems are designed. The scheme eliminates the restriction of passing the same initial value for every learning in Kawamara's scheme and thus solves Kawamara's problem of applying his scheme to "the existence of initial deviation in learning". Simulation results show the efficiency and superiority of the new scheme.
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Key words:
- Robotic systems /
- tracking of joint-angle /
- iterative learning control /
- new algorithms
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