ADAPTIVE CLUTCH PRESSURE CONTROL FOR TRACTOR POWER-SHIFT TRANSMISSION BASED ON THE FFDL-MFAC ALGORITHM
基于FFDL-MFAC算法的拖拉机动力换挡变速箱离合器压力自适应控制
DOI : https://doi.org/10.35633/inmateh-78-90
Authors
Abstract
To address the challenges of strong nonlinearity, time-varying parameters, and significant external disturbances in wet clutch pressure control during tractor powershift operation, this study proposes an adaptive pressure control method based on Full-Form Dynamic Linearization Model-Free Adaptive Control (FFDL-MFAC). Sobol global sensitivity analysis is employed to identify the key controller parameters, and an Improved Mayfly Algorithm (IMA) is introduced to achieve global optimization. The controller performance is evaluated through co-simulation and hardware-in-the-loop (HIL) testing. The co-simulation results show that, compared with conventional PID control, the FFDL-MFAC controller reduces the rise and fall times in square-wave tracking from 2.63 s and 1.27 s to 0.72 s and 0.52 s, respectively, achieving fully monotonic responses without overshoot or undershoot. In sinusoidal tracking, the maximum pressure error decreases from 0.036 MPa to 0.021 MPa, while the response delay is reduced from 0.07 s to less than 0.005 s. HIL-based clutch pressure control experiments further verify the effectiveness of the optimized controller when implemented on real hardware. Compared with the PID controller, which exhibits a 9.44% overshoot, a settling time of 3.12 s, and a steady-state fluctuation of 0.40 MPa, the FFDL-MFAC controller shows no noticeable overshoot, shortens the settling time to 1.24 s, and maintains minimal steady-state fluctuation. These results confirm the effectiveness and superiority of the proposed method for wet clutch pressure regulation and provide a solid foundation for high-performance control in tractor powershift transmissions.
Abstract in Chinese



