Systems Engineering and Electronics ›› 2022, Vol. 44 ›› Issue (1): 242-249.doi: 10.12305/j.issn.1001-506X.2022.01.30

• Guidance, Navigation and Control • Previous Articles     Next Articles

Event-triggered control for unmanned sailboat with actuator failures

Jiqiang LI1, Guoqing ZHANG1,*, Chenfeng HUANG1, Weidong ZHANG2   

  1. 1. Navigation College, Dalian Maritime University, Dalian 116026, China
    2. Department of Automation, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2021-01-11 Online:2022-01-01 Published:2022-01-19
  • Contact: Guoqing ZHANG

Abstract:

Aiming at the heading control problem for the unmanned sailboat with the unknown model parameters, the chattering frequently of control input and the actuator wear under the practical marine environment, an event-triggered control algorithm with the actuator failures is proposed. Firstly, the radius based function neural networks (RBF-NNs) is introduced to approximated online the unknown model parameters of the system. Secondly, the actuator failure model is introduced into the heading mathematical model of unmanned sailboat, and the turning torque caused by sail structure is considered in the design of heading controller. A heading control law based on event triggering mechanism is designed to reduce the frequent chattering of control input and actuator wear. Finally, through the Lyapunov stability criterion, it is proved that the proposed control algorithm satisfies semi-global uniform ultimate bounded (SGUUB) stability. Numerical simulation results show that compared with the traditional heading control algorithm, the proposed algorithm can greatly reduce the frequent chattering of control input and the wear of actuator on the basis of ensuring the heading control performance.

Key words: unmanned sailboat, radius based function neural networks (RBF-NNs), actuator failures, event-triggered control

CLC Number: 

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