2015•Unpublished venueRequires access

3D path-following control for autonomous underwater vehicle based on adaptive backstepping sliding mode

Zhenzhong Chu, Daqi Zhu

Open publisher page 16 citations

Abstract

The three-dimensional (3D) path-following control for autonomous underwater vehicle (AUV) based on adaptive backstepping sliding mode is studied in the paper. First, the design method of kinematics control law is given based on the guidance function. Then, according to the desired yaw angle, pitch angle and surge velocity, the design method of dynamics control law is given based on backstepping sliding mode. For the problem that the AUV dynamic model is unknown in the design of dynamic control law, the adaptive backstepping sliding mode control method based on RBF neural network is proposed, and the selection method of parameter learning rate based on the minimum disturbance thought is given. The simulation results demonstrate the effectiveness of the proposed methods.

About this research paper

What this paper is about

The three-dimensional (3D) path-following control for autonomous underwater vehicle (AUV) based on adaptive backstepping sliding mode is studied in the paper. First, the design method of kinematics control law is given based on the guidance function. Then, according to the desired yaw angle, pitch angle and surge velocity, the design method of dynamics control law is given based on backstepping sliding mode. For the problem that the AUV dynamic model is unknown in the design of dynamic control law, the adaptive backstepping sliding mode control method based on RBF neural network is proposed, and the selection method of parameter learning rate based on the minimum disturbance thought is given. The simulation results demonstrate the effectiveness of the proposed methods.

Why it matters

OpenAlex reports 16 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

The three-dimensional (3D) path-following control for autonomous underwater vehicle (AUV) based on adaptive backstepping sliding mode is studied in the paper. First, the design method of kinematics control law is given based on the guidance function. Then, according to the desired yaw angle, pitch angle and surge velocity, the design method of dynamics control law is given based on backstepping sliding mode. For the problem that the AUV dynamic model is unknown in the design of dynamic control law, the adaptive backstepping sliding mode control method based on RBF neural network is proposed, and the selection method of parameter learning rate based on the minimum disturbance thought is given. The simulation results demonstrate the effectiveness of the proposed methods.

Key concepts: Backstepping, Control theory (sociology), Sliding mode control, Kinematics, Vehicle dynamics, Computer science, Artificial neural network, Underwater

Related papers

Back to paper searchBrowse research topicsOriginal source
3D path-following control for autonomous underwater vehicle based on adaptive backstepping sliding mode — Research Paper | ScholarLens