Controller Design for Electrohydraulic Actuator of Heavy-Duty Automatic Transmission Using Model Predictive Control Algorithm

High-quality shifting is an inelastic demand for the automotive industry, and it is worth exploring the design of controllers that can shift precisely according to the planned shifting strategy. This article proposes a dynamic model of the automatic transmission (AT) up/downshift process, and the transfer function based on pressure is first given. The model was verified by comparing it with the experimentally obtained fluid pressure. Subsequently, a pressure control strategy suitable for heavy-duty AT shifting was explored by establishing a model predictive controller with pressure feedback control. Meanwhile, a Kalman filter-based observer was designed to solve the inconvenient installation of internal sensors. Finally, the proposed control model was optimized using a multiobjective genetic algorithm for the controller. The simulation results indicate that the proposed control strategy can be applied to heavy-duty vehicles for improving the shift quality.