Slip control during inertia phase of clutch-to-clutch shift using model-free self-tuning proportional-integral-derivative control

Abstract

<jats:p> Transmissions require a good shift feeling and improved fuel efficiency. In state-of-the-art stepped automated transmissions, the number of gear stages increases, and the lock-up area is expanded to improve fuel efficiency. However, this makes it difficult to obtain a good shift feeling and it takes a large number of calibration man-hours. Therefore, to reduce the number of calibration man-hours and improve the shift feeling, we propose a slip control law between the engine and the clutch, which is composed of a proportional-integral-derivative (PID) controller and a disturbance observer. Moreover, PID gain is adjusted online by installing an automatic tuning method, which does not require a controlled object model. The effects of the proposed method are verified via an experiment using an actual vehicle. The experimental results show that the proposed method is effective for automatically adjusting PID gain and improving the shift feeling of the stepped automated transmission. </jats:p>

Direct tuning of the data-driven controller considering closed-loop stability based on a fictitious reference signal

“…Therefore, studies on model-free control and data-driven control (DDC), wherein controller parameters are directly tuned using the input/output data of a controlled object, are attracting attention. 2–21 Model-free control is effective when applied to time-varying systems because optimal parameters can be obtained via online calculations. However, some difficulties are associated with its application to mass products from the viewpoint of stability and CPU performance.…”

Novel Sliding Mode Vibration Controller With Simple Model-Free Design and Compensation for Actuator’s Uncertainty

“…Model-free control based on a data-driven control method has been widely studied [17] [18]. This approach constructs the controller using input and output data of the plant.…”

Direct tuning of gain-scheduled controller for electro-pneumatic clutch position control

“…The automobile industry uses control laws based on feedforward and proportional integral derivative (PID) control, which have low computational cost and are intuitive. 5 PID control is used in more than 90% of the closed-loop. 6 The control law often consists of a look-up table (LUT) tuned by trial and error 7,8 because many automobile devices have nonlinearity.…”

“…9 To this end, model-free control and data-driven control have been explored [10][11][12][13][14][15][16][17][18][19][20][21][22] and applied to automobile systems. 5,[23][24][25][26] Thus far, the control of pneumatic clutch actuators has been accomplished through use of model-based approaches, including H N control, 27 sliding mode control, 28,29 model predictive control, [30][31][32][33] adaptive control, 34 state feedback control using feedback linearization, 35 fuzzy control, 36 and backstepping control. 37 In these methods, an observer is required to construct a state feedback controller; an observer for estimating the pressure inside a clutch piston has been proposed.…”