On the design of Kalman Filter-Based Disturbance Observer For Stabilization of Rigid Formations

P. Sanila, J. Jacob, R. Ramchand
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Abstract

This paper proposes a novel Kalman Filter-based Disturbance Observer for formation control of multi-agent systems with double integrator model using the notion of graph rigidity. Rigidity based formation control targets at achieving and maintaining a predefined geometric structure in space while satisfying the constraints on inter-agent distance, as well as circumventing the collision between the agents. In a practical scenario, the agents will be subjected to disturbances and hence fail in attaining the desired formation. Therefore, the aim of this paper is to design a Kalman filter based observer to efficaciously estimate the disturbances and states, to provide appropriate modifications in the control law so as to achieve robust formation stabilisation. Simulation results validate the proposed method for both constant and time varying disturbances.
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基于卡尔曼滤波的刚性编队稳定扰动观测器设计
本文利用图刚性的概念,提出了一种新的基于卡尔曼滤波的扰动观测器,用于双积分模型多智能体系统的群体控制。基于刚性的群体控制的目标是在满足智能体间距离约束的情况下,实现和保持空间中预定义的几何结构,并避免智能体之间的碰撞。在实际场景中,代理将受到干扰,因此无法获得期望的形状。因此,本文的目的是设计一个基于卡尔曼滤波的观测器来有效地估计扰动和状态,并对控制律进行适当的修改,从而实现鲁棒的编队稳定。仿真结果验证了该方法在恒定扰动和时变扰动下的有效性。
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