Robust state dependent Riccati equation based robot manipulator control

M. Xin, S. Balakrishnan, Zhongwu Huang
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引用次数: 22

Abstract

We present a new optimal control approach to robust control of robot manipulators in the framework of state dependent Riccati equation (SDRE) technique. To treat this highly nonlinear control system, we formulate it as a nonlinear optimal regulator problem. SDRE technique was used to synthesize an optimal controller to this class of robot control problem. We also synthesize a neural network based extra controller to achieve the robustness in the presence of the parameter uncertainties. A typical two-link robot position control problem was studied to show the effectiveness of SDRE approach and robust extra control design to robotic application.
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基于鲁棒状态依赖Riccati方程的机器人操纵臂控制
在状态相关Riccati方程(SDRE)框架下,提出了一种新的机器人机械臂鲁棒控制的最优控制方法。为了处理这种高度非线性的控制系统,我们将其表述为非线性最优调节器问题。针对这类机器人的控制问题,采用SDRE技术合成了最优控制器。我们还合成了一个基于神经网络的额外控制器,以实现在参数不确定性存在下的鲁棒性。通过一个典型的双连杆机器人位置控制问题的研究,验证了SDRE方法和鲁棒附加控制设计在机器人应用中的有效性。
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