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一种考虑执行器和功率级子系统的移动机器人新型动态三电平跟踪控制器:实验评估

A Novel Dynamic Three-Level Tracking Controller for Mobile Robots Considering Actuators and Power Stage Subsystems: Experimental Assessment.

作者信息

García-Sánchez José Rafael, Tavera-Mosqueda Salvador, Silva-Ortigoza Ramón, Hernández-Guzmán Victor Manuel, Marciano-Melchor Magdalena, Rubio José de Jesús, Ponce-Silva Mario, Hernández-Bolaños Miguel, Martínez-Martínez Jesús

机构信息

División de Ingeniería Mecatrónica, Tecnológico de Estudios Superiores de Huixquilucan, Tecnológico Nacional de México, Estado de México 52773, Mexico.

Laboratorio de Mecatrónica & Energía Renovable, Centro de Innovación y Desarrollo Tecnológico en Cómputo, Instituto Politécnico Nacional, Ciudad de México 07700, Mexico.

出版信息

Sensors (Basel). 2020 Sep 2;20(17):4959. doi: 10.3390/s20174959.

DOI:10.3390/s20174959
PMID:32887264
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7506706/
Abstract

In order to solve the trajectory tracking task in a wheeled mobile robot (WMR), a dynamic three-level controller is presented in this paper. The controller considers the mechanical structure, actuators, and power stage subsystems. Such a controller is designed as follows: At the high level is a dynamic control for the WMR (differential drive type). At the medium level is a PI current control for the actuators (DC motors). Lastly, at the low level is a differential flatness-based control for the power stage (DC/DC Buck power converters). The feasibility, robustness, and performance in closed-loop of the proposed controller are validated on a DDWMR prototype through Matlab-Simulink, the real-time interface ControlDesk, and a DS1104 board. The obtained results are experimentally assessed with a hierarchical tracking controller, recently reported in literature, that was also designed on the basis of the mechanical structure, actuators, and power stage subsystems. Although both controllers are robust when parametric disturbances are taken into account, the dynamic three-level tracking controller presented in this paper is better than the hierarchical tracking controller reported in literature.

摘要

为了解决轮式移动机器人(WMR)中的轨迹跟踪任务,本文提出了一种动态三级控制器。该控制器考虑了机械结构、执行器和功率级子系统。这种控制器的设计如下:在高层是对WMR(差动驱动型)的动态控制;在中层是对执行器(直流电机)的PI电流控制;最后,在低层是基于微分平坦性的功率级控制(DC/DC降压功率转换器)。通过Matlab-Simulink、实时接口ControlDesk和DS1104板,在所提出的控制器的闭环可行性、鲁棒性和性能在一个DDWMR原型上得到了验证。所获得的结果通过文献中最近报道的一种分层跟踪控制器进行了实验评估,该控制器也是基于机械结构、执行器和功率级子系统设计的。尽管在考虑参数扰动时两种控制器都具有鲁棒性,但本文提出的动态三级跟踪控制器优于文献中报道的分层跟踪控制器。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfde/7506706/c888988b5bbc/sensors-20-04959-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfde/7506706/2463afbddc5b/sensors-20-04959-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfde/7506706/20b7ae9290b4/sensors-20-04959-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfde/7506706/270cff6bdf9a/sensors-20-04959-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfde/7506706/c74f12a5b767/sensors-20-04959-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfde/7506706/d480a55cb181/sensors-20-04959-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfde/7506706/02225ceff7ee/sensors-20-04959-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfde/7506706/e14babdc6133/sensors-20-04959-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfde/7506706/c888988b5bbc/sensors-20-04959-g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfde/7506706/2463afbddc5b/sensors-20-04959-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfde/7506706/20b7ae9290b4/sensors-20-04959-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfde/7506706/270cff6bdf9a/sensors-20-04959-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfde/7506706/c74f12a5b767/sensors-20-04959-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfde/7506706/d480a55cb181/sensors-20-04959-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfde/7506706/02225ceff7ee/sensors-20-04959-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfde/7506706/e14babdc6133/sensors-20-04959-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cfde/7506706/c888988b5bbc/sensors-20-04959-g008.jpg

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本文引用的文献

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LogEvent2vec: LogEvent-to-Vector Based Anomaly Detection for Large-Scale Logs in Internet of Things.日志事件 2 向量:基于日志事件到向量的物联网大规模日志异常检测。
Sensors (Basel). 2020 Apr 26;20(9):2451. doi: 10.3390/s20092451.
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Tracking Control for Wheeled Mobile Robot Based on Delayed Sensor Measurements.基于延时传感器测量的轮式移动机器人跟踪控制。
Sensors (Basel). 2019 Nov 26;19(23):5177. doi: 10.3390/s19235177.
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Robust Switched Tracking Control for Wheeled Mobile Robots Considering the Actuators and Drivers.考虑执行器和驱动器的轮式移动机器人鲁棒切换跟踪控制
Sensors (Basel). 2018 Dec 7;18(12):4316. doi: 10.3390/s18124316.
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Dual closed-loop sliding mode control for a decoupled three-link wheeled mobile manipulator.解耦三连杆轮式移动机械手的双闭环滑模控制。
ISA Trans. 2018 Sep;80:322-335. doi: 10.1016/j.isatra.2018.07.023. Epub 2018 Jul 31.