An improved adaptive position tracking strategy for automatic shift actuator with uncertain parameters

• Published in: Scientific reports Vol. 14; no. 1; pp. 9454 - 14
• Main Authors: Yin, Chengqiang, Wang, Shuai, Gao, Jie, Xu, Guangfei, Wu, Jian
• Format: Journal Article
• Language: English
• Published: London Nature Publishing Group UK 24.04.2024; Nature Publishing Group; Nature Portfolio
• Subjects: 639/166; 639/4077; Adaptive control; Automatic clutch system; Automation; Control algorithms; Control systems; Control theory; Controllers; Convergence; Design; Finite time control; Friction; Humanities and Social Sciences; Lagrange multiplier; multidisciplinary; Nonlinear systems; Parameter update; Position tracking; Robust control; Science; Science (multidisciplinary); Systems stability; Theoretical analysis; Finite time control; Parameter update; Adaptive control; Position tracking; Automatic clutch system
• ISSN: 2045-2322; 2045-2322
• DOI: 10.1038/s41598-024-59952-1

Realizing precise and fast position control of the gear is a challenging issue because of its nonlinearity, parameter uncertainty and external disturbance. Therefore, this paper researches the clutch position control considering the influence because of the factor on the system performance. By virtue of the traditional adaptive control method, an improved strategy based on finite time theory is proposed to further improve the convergence rate as well as the position tracking precision. First, a model of electromechanical clutch actuator system is established by theoretical analysis. Then, an enhanced adaptive controller is designed using finite time idea by introducing power function in the virtual control. And parameter update rate is adopted in the control action. Next, the stability of the control system is proved theoretically. Finally, Matlab simulations and experimental bench test are carried out to exhibit the effectiveness of the presented method. The results show that the satisfactory performance has been achieved with accurate position tracking and fast convergence speed.