Test Research on Optimization of AMT Shift Control Parameters

Zhang, Haonan; Zhang, Youkun; Hao, Chunguang; Lu, Yanhui

doi:10.1109/cvci54083.2021.9661185

Cited by 1 publication

(2 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Both simulation and test bench results demonstrate that the proposed preview control algorithm can achieve rapid and accurate position-tracking control without significant overshoot or steady-state errors while maintaining high-quality gear shifting. The shift control effect of an automated manual transmission (AMT) and reduction in synchronizer wear were optimized by implementing a variable parameter control method based on current feedback during the transmission bench test, as discussed in [18]. Shift tests were conducted in groups to investigate the influence of shift stroke and speed on the duration of each stage's shifting process.…”

Section: Survey Of Amt Shift Controlmentioning

confidence: 99%

See 1 more Smart Citation

Research on Precise Tracking Control of Gear-Shifting Actuator for Non-Synchronizer Automatic Mechanical Transmission Based on Sleeve Trajectory Planning

Gongye,

Du,

et al. 2024

Energies

View full text Add to dashboard Cite

The Non-Synchronizer Automated Mechanical Transmission (NSAMT) demonstrates a straightforward structure and cost-effectiveness; however, the primary obstacle to its widespread application lies in NSAMT shift control. The implementation of active angle alignment effectively addresses the issue of shifting quality, but achieving active angle alignment necessitates precise tracking of the planned shifting curve by the gear-shifting actuator. To tackle the control problem of accurate tracking for NSAMT shift actuators, this paper initially analyzes the structure and shift characteristics of the NSAMT. Based on this analysis, a physical model is established using Amesim, incorporating a drive motor, two-gear NSAMT, shift actuator, sleeve, and DC motor model. An extended state observer (ESO) is designed to mitigate unknown interference within the system. Furthermore, an active angle alignment control algorithm based on “zero speed difference” and “zero angle difference” for double target tracking is constructed while planning the axial motion trajectory of the sleeve. The Backstepping algorithm is employed to successfully track and regulate this planned trajectory. Finally, through Hardware-in-the-Loop testing, we validate our proposed control strategy, which demonstrates consistent results with simulation outcomes, thereby affirming its effectiveness.

show abstract

Section: Survey Of Amt Shift Controlmentioning

confidence: 99%

“…The incorporation of θ slv (t) = t 0 ω slv dt + θ slv_0 and θ gr (t) = t 0 ω gr dt + θ gr_0 into Equation (18) yields…”

Section: Trajectory Planning Of Sleevementioning

confidence: 99%