A comparative study between switching and adaptive controllers for a remotely operated vehicle

Author:

Cavalletti M1,Ippoliti G1,Longhi S1

Affiliation:

1. Dipartimento di Ingegneria Informatica, Gestionale e dell’Automazione, Università Politecnica delle Marche,Ancona, Italy

Abstract

This paper considers the tracking control problem of an underwater vehicle subject to different load configurations, that result in considerable variations of its mass and inertial parameters. For this class of mode-switch processes, traditional control techniques are not adequate to guarantee the required performance when a change of configuration occurs. Advanced control techniques have been analysed; a switching control and an adaptive control have been developed with the aim to compare the performance of these types of controllers. The stability of the two controllers has been analysed using the Lyapunov theory and their performance has been evaluated by numerical simulations. On the basis of numerical tests, when an adequate a priori knowledge of different vehicle configurations is available, the switching controller is found to be the better control strategy with respect to an adaptive solution because of its significantly reduced transient response.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Ocean Engineering

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Improved robustness and performance for adaptive control of non-linear plants with input saturations;2022 30th Mediterranean Conference on Control and Automation (MED);2022-06-28

2. Experimental Study of a Modified Command Governor Adaptive Controller for Depth Control of an Unmanned Underwater Vehicle;Journal of Marine Science and Application;2021-09

3. Experimental Study of Command Governor Adaptive Control for Unmanned Underwater Vehicles;IEEE Transactions on Control Systems Technology;2019-01

4. A regressor-free robust adaptive controller for autonomous underwater vehicles;Proceedings of the Institution of Mechanical Engineers, Part M: Journal of Engineering for the Maritime Environment;2016-10-08

5. Composite model reference adaptive control for an unmanned underwater vehicle;Underwater Technology;2015-11-01

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