Shifting Control Method for Automatic Transmission of PSD-Axle Forklift

PSD322-Axle형 지게차 자동변속기의 변속제어

  • Published : 2009.12.15

Abstract

A forklift (also called a lift truck) is a powered industrial truck that is used to lift and transport materials. It has become an indispensable piece of equipment in manufacturing and warehousing operations. The modem forklift is equipped with automatic transmission to meet the requirement of loading and easy operation of the vehicle. This paper proposes the design of TECU(Transmission Electronic Control Unit) which is applied to PSD322-Axle transmission. Garofalo's control technique is generally used to the automatic transmission. We consider the work quality and market requirement that does not want to control engine throttle. This paper proposes new controller system which guarantees efficient speed changes with simple system. This new system does not control the engine throttle spontaneously. But it has the load of engine and vehicle as a maximum disturbance. The scope of the disturbance is limited to the stoll area of the torque converter. This paper proposes a ideal control commander that converges relative velocity of the input and ouput of a clutch into a zero. We design linear controller to execute the idea control commander. We applied the control algorithm to the forklift of PSD322-Axle type and the performance of this controller was verified.

Keywords

References

  1. Lee, K. H., 2006, "Simulation and Analysis using Dynamic System Modeling for Forklift Truck Automatic Transmission," KSAE, Vol. 2, No. 2, pp. 897-902.
  2. Lee, I. Y., 1995, "Trends in Clutch Actuation Hydraulic Control System of Automatic Transmission for Vehicles," Auto Journal, Vol. 15, No. 5, pp. 28-35.
  3. Jung, G. H., 1999, "Shifting Control Method for EF-Automatic Transmission with Proportional Control Solenoid Valve," KSAE, Vol. 7, No. 2, pp. 251-259.
  4. Garofalo, F., Gielrno, L., Iannelli, L. and Vasca, F., 2001, "Smooth engagement for automotive dry clutch," Proceeding of the 40th IEEE Conference on Decision and Control, Vol. 1, pp. 529-534.