Optimal control of dry clutch engagement based on the driver’s starting intentions

Abstract

This paper explores the association between the driver’s starting intentions and control of dry clutch engagement during the vehicle launch in order to develop an intelligent automated mechanical transmission system. The optimal engagement laws are deduced by finding a compromise between the friction loss, the shock intensity, the engine torque and the engine angular acceleration, based upon the extremum value theorem. The optimal parameters of clutch engagement are adjusted for the value of the shock intensity. The driver’s starting intentions, which can be divided into three patterns, namely fast starting, medium-speed starting and slow starting, are associated with optimal control of clutch engagement according to fuzzy control theory. It is demonstrated that optimal control of dry clutch engagement can reflect the driver’s starting intentions correctly. The obtained optimal accelerator opening has more advantages than the actual accelerator opening, which can be adopted as the ideal input of the vehicle with an intelligent automated mechanical transmission system.

Keywords

Starting intentions clutch engagement automated mechanical transmission fuzzy control

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References

Van der Heijden

Serrarens

AFA

Camlibel

Nijmeijer

. Hybrid optimal control of dry clutch engagement. Int J Control 2007; 80(11): 1717–1728.

Dolcini

Bechart

Canudas De Wit

. Observer-based optimal control of dry clutch engagement. In: 44th IEEE conference on decision and control, and the European control conference 2005, Seville, Spain, 12–15 December 2005, pp.440–445. New York: IEEE.

Dolcini

Bechart

Canudas

Wit

. Lurch avoidance strategy and its implementation in AMT vehicles. Mechatronics 2008; 18: 289–300.

Salvucci

. Inferring driver intent: a case study in lane-change detection. In: Human Factors Ergonomics Society 48th annual meeting, 2004, pp.2228–2231. Santa Monica, CA: Human Factors Ergonomics Society.

Zhang

Zehn

. Study on clutch engagement judder during launch process for dual clutch transmissions. Int J Veh Noise Vibr 2010; 6: 176–199.

Amari

Tona

Alamir

. Experimental evaluation of a hybrid MPC strategy for vehicle start-up with an automated manual transmission. In: European control conference, Budapest, Hungary, 23–26 August 2009, paper WeB6.4. Saint-Martin d’Hères: European Union Control Association.

Lorini

Herzig

. A logic of intention and attempt. Synthese 2008; 163(1): 45–77.

Oliver

Pentland

. Graphical models for driver behavior recognition in a SmartCar. In: IEEE intelligent vehicles symposium, Dearborn, MI, USA, 3–5 October 2000, pp.7–12. New York: IEEE.

Kim

Choi

. Control of dry clutch engagement for vehicle launches via a shaft torque observer. In: American control conference, Baltimore, MD, USA, 30 June–2 July 2010, pp.676–681. New York: IEEE.

10.

Niu

. Clutch control during starting of AMT. Procedia Engng 2010; 7: 447–452.

11.

Amir

Qin

Liu

. A control strategy on starting up of vehicle with automatic manual transmissions (AMT). Inf Technol J 2005; 4(2): 140–145.