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利用分数阶控制器提高移动机器人的机动性。

Improving Mobile Robot Maneuver Performance Using Fractional-Order Controller.

机构信息

Computer Science and System Department, Universidad de La Laguna, 38200 Canary Island, Spain.

出版信息

Sensors (Basel). 2023 Mar 16;23(6):3191. doi: 10.3390/s23063191.

Abstract

In this paper, the low-level velocity controller of an autonomous vehicle is studied. The performance of the traditional controller used in this kind of system, a PID, is analyzed. This kind of controller cannot follow ramp references without error, so when the reference implies a change in the speed, the vehicle cannot follow the proposed reference, and there is a significant difference between the actual and desired vehicle behaviors. A fractional controller is proposed which changes the ordinary dynamics allowing faster responses for small times, at the cost of slower responses for large times. The idea is to take advantage of this fact to follow fast setpoint changes with a smaller error than that obtained with a classic non-fractional PI controller. Using this controller, the vehicle can follow variable speed references with zero stationary error, significantly reducing the difference between reference and actual vehicle behavior. The paper presents the fractional controller, studies its stability in function of the fractional parameters, designs the controller, and tests its stability. The designed controller is tested on a real prototype, and its behavior is compared to a standard PID controller. The designed fractional PID controller overcomes the results of the standard PID controller.

摘要

本文研究了自动驾驶汽车的底层速度控制器。分析了该系统中传统控制器(PID)的性能。这种控制器不能无误差地跟踪斜坡参考,因此当参考值包含速度变化时,车辆无法跟踪所提出的参考值,实际行为与期望行为之间存在显著差异。提出了一种分数控制器,它改变了普通动力学,使得在小时间内可以更快地响应,而在大时间内响应速度较慢。其想法是利用这一事实,以比经典非分数 PI 控制器更小的误差来跟踪快速设定点变化。使用该控制器,车辆可以跟随具有零静止误差的变速参考,显著减少参考值和实际车辆行为之间的差异。本文介绍了分数控制器,研究了其在分数参数下的稳定性,设计了控制器,并测试了其稳定性。所设计的控制器在实际原型上进行了测试,并将其行为与标准 PID 控制器进行了比较。设计的分数 PID 控制器克服了标准 PID 控制器的结果。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/2952/10051309/884ebf8ac26e/sensors-23-03191-g001.jpg

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