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Design and Implementation of Robust Hybrid Control of Vision Based Underactuated Mechanical Nonminimum Phase Systems

机译:基于视觉的欠驱动机械非最小相位系统鲁棒混合控制的设计与实现

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This paper presents a vision based Cart-Inverted Pendulum (CIP) system under a hybrid feedback configuration: the continuous cart's position measured by encoder and the delayed & sampled inverted pendulum's upper coordinates, obtained from a visual sensor. The challenge here is to stabilize the CIP from a big inclined initial angle by using a low cost CCD camera. Under this scheme, we propose a hybrid control which consists in a Jumping-up (Bang-Bang) control and a two causal stabilization loops control: the first one (inner loop) realizes a linearization and the stabilization control of the pendulum based on an innovative Piecewise Continuous Reduced Order Luenberger Observer coupled with a linearization module, the second one (the outer loop) realizes a Lyapunov based control for the unstable internal system with lower dynamics than that of the pendulum. This hybrid control method is capable of balancing the CIP system within small cart' s displacement. Performances issues of the proposed method are illustrated by the experimental figures and videos.
机译:本文提出了一种在混合反馈配置下基于视觉的手推车倒立摆(CIP)系统:通过编码器测量的连续手推车位置以及从视觉传感器获得的延迟和采样的倒立摆的上坐标。这里的挑战是通过使用低成本的CCD摄像机从较大的初始倾斜角度稳定CIP。在这种方案下,我们提出了一种混合控制,该混合控制包括一个跳动(Bang-Bang)控制和两个因果稳定环控制:第一个(内环)实现线性化,并且基于创新的分段连续降阶Luenberger观测器与线性化模块相结合,第二个(外环)实现了基于Lyapunov的对不稳定内部系统的控制,其动态性低于摆锤。这种混合控制方法能够在小推车的位移范围内平衡CIP系统。实验图和视频说明了该方法的性能问题。

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