فهرست مطالب milad arianfard

In this study, an adaptive sliding mode controller (ASMC) based on estimation of tire-road friction coefficient is proposed for engagement control of automotive dry clutch. The control of clutch engagement is one of the most important parts of gear-shift process for automated manual transmission. Accurate amount of drive shaft torque in modelling of powertrain system is essential to guarantee smooth engagement of the clutch and rapid response of the control system. As the tire-road friction coefficient has significant influence on drive shaft torque, an estimator is designed to calculate this parameter. The ASMC is proposed for the clutch control to overcome the system uncertainties and a proportional integral (PI) controller is adopted to engine speed control. In addition, a nonlinear estimator utilizing unscented Kalman filter is applied to estimate the state variables that are measured hardly such as wheel slip and longitudinal vehicle velocity. The simulation results demonstrate the high effectiveness of the combined use of presented controller and road friction coefficient estimator for improving the smooth clutch engagement in comparison to the control system without estimator.

In this paper, an adaptive sliding mode controller with variable gains to cope with uncertainties is proposed for an electromechanical clutch position control system to apply in the automated manual transmission. Transmission systems undergo changes in parameters with respect to the wide range of driving conditions, such as changes in friction coefficient of clutch disc and stiffness of diaphragm spring, hence, an adaptive robust control method is required to overcome the uncertainties and disturbances. As the majority of transmission dynamics variables cannot be measured in a cost-efficient way, a non-linear estimator based on an unscented Kalman filter is designed to estimate the state valuables of the system. Also, a non-linear dynamic model of the electromechanical actuator is presented for the automated clutch system. The model is validated with experimental test results. A numerical simulation of a reference input for clutch bearing displacement is performed to evaluate the performance of the designed controller and estimator. To evaluate the performance of the proposed control system the root mean square value of the position tracking error has been used. The results of the analysis indicate higher efficiency of the adaptive controller designed to improve the position tracking error compared to the conventional sliding mode controller.