Speed synchronization control for integrated automotive motor–transmission powertrain system with random delays. (December 2015)

• Record Type: Journal Article
• Authors: Zhu, Xiaoyuan; Zhang, Hui; Fang, Zongde
• Is Part Of: Mechanical systems and signal processing. Volume 64/65(2015)
• Page Start: 46
• Page End: 57
• Publication Date: 2015-12
• Subjects: Integrated motor–transmission -- Speed synchronization -- Energy-to-peak control -- Markov chains -- LMI; Structural dynamics -- Periodicals; Vibration -- Periodicals; Constructions -- Dynamique -- Périodiques; Vibration -- Périodiques; Structural dynamics; Vibration; Periodicals; 621
• DOI: 10.1016/j.ymssp.2015.04.001
• Languages: English
• ISSNs: 0888-3270

Abstract

Abstract: This paper presents a robust speed synchronization controller design for an integrated motor–transmission powertrain system in which the driving motor and multi-gearbox are directly coupled. As the controller area network (CAN) is commonly used in the vehicle powertrain system, the possible network-induced random delays in both feedback and forward channel are considered and modeled by using two Markov chains in the controller design process. For the application perspective, the control law adopted here is a generalized proportional–integral (PI) control. By employing the system-augmentation technique, a delay-free stochastic closed-loop system is obtained and the generalized PI controller design problem is converted to a static output feedback (SOF) controller design problem. Since there are external disturbances involved in the closed-loop system, the energy-to-peak performance is considered to guarantee the robustness of the controller. And the controlled output is chosen as the speed synchronization error. To further improve the transient response of the closed-loop system, the pole placement is also employed in the energy-to-peak performance based speed synchronization control. The mode-dependent control gains are obtained by using an iterative linear matrix inequality (LMI) algorithm. Simulation results show the effectiveness of the proposed control approach. Highlights: A generalized PI controller. CAN-induced delay analysis and compensation method. Delay-dependent controller.