On the Design of Observer-based Dynamic Visual Servo Systems via Nonlinear H_∞ Model Predictive Control

基于非线性H_∞模型预测控制的观测器动态视觉伺服系统设计

• 批准号: 14550442
• 负责人: FUJITA Masayuki
• 金额: $ 1.28万
• 依托单位: Kanazawa University
• 依托单位国家: 日本
• 项目类别: Grant-in-Aid for Scientific Research (C)
• 财政年份: 2002
• 资助国家: 日本
• 起止时间: 2002 至 2003
• 项目状态: 已结题
• 来源: https://kaken.nii.ac.jp/grant/KAKENHI-PROJECT-14550442/
• 关键词: Model Predictive Control; Nonlinear Control; Visual Servo; Visual Feed back; Robot Control; Robust Control; H_∞ Control; Digital Control; H_∞制御

In this research, we consider the design of observer-based dynamic visual servo systems via nonlinear H_∞ model predictive control. Firstly, the 3-D visual feedback control problem is established as the robot control problem and the estimation problem of the relative rigid body motion between the camera and the target object. For this problem, we propose a nonlinear H_∞ model l)redicti~7e control law for the visual servo systems. Specifically, the appropriate energy function to the proposed control law plays an important role in the control design.Secondly, the dynamic visual servo system is constructed from a robot manipulator, a camera and an image processing board with a. high-performance DSP and a. real-time system. While we provide real-time software for implementing the proposed control law to the real system, the algorithm for optimal problems is considered in order to calculate the controller by the real system.Finally, we have experiments for evaluating the control performances using the constructed dynamic visual servo system. Experimental results are analyzed exactly by a high-performance workstation. Not only the states of the average but also the states of the worst case are considered in order to verify the proposed control law with experimental results systematically. Moreover, the real-time software and the algorithm for optimal problems are reconsidered via, simulations and experiments.

在这项研究中，我们通过非线性H_∞模型预测控制来考虑基于观察者的动态视觉伺服系统的设计。首先，将3-D视觉反馈控制问题确定为机器人控制问题以及相机和目标对象之间相对刚体运动的估计问题。对于此问题，我们提出了一个非线性H_∞模型l）redicti〜7E视觉伺服系统的控制定律。具体而言，拟议的控制法的适当能量函数在控制设计中起着重要作用。第二，动态视觉伺服系统是由机器人操纵器，摄像头和带有A的图像处理板构建的。高性能DSP和a。实时系统。当我们提供实时软件以将提出的控制法实施到真实系统中，但考虑了最佳问题的算法以通过实际系统来计算控制器。在本文中，我们进行了实验，用于使用构建的动态视觉伺服系统评估控制性能。实验结果通过高性能工作站进行了分析。为了系统地验证拟议的控制法，不仅考虑了平均状态，而且还考虑了最坏情况的状态。此外，通过仿真和实验重新考虑了实时软件和用于最佳问题的算法。

项目成果

東 剛人: "コンピュータネットワークにおける輻輳制御"計測と制御. 41-7. 496-501 (2002)

Takehito Higashi：“计算机网络中的拥塞控制”测量与控制 41-7 (2002)。

Y.Kawai: "Stabilizing Receding Horizon H_∞ Control for LTV Systems using Extended Terminal Inequality Conditions"Proc.of the 41st Conference on Decision and Control. 3452-3457 (2002)

Y.Kawai：“使用扩展终端不等式条件稳定 LTV 系统的后退地平线 H_∞ 控制”第 41 届决策与控制会议论文集 3452-3457（2002 年）。

H.Kawai, S.Izoe, M.Fujita: "A Passivity Approach to Vision-based Dynamic Control of Robots with Nonlinear Observer"Control Problems in Robotics, (A.Bicchi, H.Christensen and D.Prattichizzo(Eds)(Springer-Verlag). 199-213 (2002)

H.Kawai、S.Izoe、M.Fujita：“基于视觉的非线性观察器动态控制机器人的被动方法”机器人控制问题，（A.Bicchi、H.Christensen 和 D.Prattichizzo（Eds）（Springer）

M.Mukai, T.Azuma, M.Fujita: "Robust Receding Horizon Control for Hybrid Systems based on Constrained Positively In-variant Sets(in Japanese)"Transactions of the Society of Instrument and Control Engineers. 39-4. 375-381 (2003)

M.Mukai、T.Azuma、M.Fujita：“基于约束正不变集的混合系统的鲁棒后退地平线控制（日语）”仪器与控制工程师学会会刊。

T.Asai, K.Liu, M.Fujita: "How to Design a Tough Control System : Robust Control(in Japanese)"Journal of the Society of Instrument and Control Engineers. 42-4. 284-291 (2003)

T.Asai、K.Liu、M.Fujita：“如何设计严格的控制系统：鲁棒控制（日语）”仪器与控制工程师学会杂志。