• CN: 11-2187/TH
  • ISSN: 0577-6686

Journal of Mechanical Engineering ›› 2019, Vol. 55 ›› Issue (12): 157-167.doi: 10.3901/JME.2019.12.157

Previous Articles     Next Articles

Variable Universe Fuzzy Control for the Lateral Stability of Forklift Based on the Roll Classification

XIA Guang1,2, DU Ke1, XIE Hai1, TANG Xiwen3, CHEN Wuwei2   

  1. 1. Institute of Automotive Engineering, Hefei University of Technology, Hefei 230009;
    2. School of Automotive and Traffic Engineering, Hefei University of Technology, Hefei 230009;
    3. School of Radar Confrontation, National University of Defense Technology, Hefei 230037
  • Received:2018-05-16 Revised:2019-01-09 Online:2019-06-20 Published:2019-06-20

Abstract: Based on the analysis of structural characteristics and tilting mechanism of the balanced weight forklift, tilt of the forklift is divided into first-stage tilt and second-stage tilt, Strategies of control of the tilting stage for lateral stability of the balanced weight forklift are also presented in this paper. A new type of three-link hydraulic-support adjusting mechanism as the actuator for control of the forklift tilt is designed. And the controller is designed by adopting the variabe universe fuzzy control theory based on the forklift's tilting stage. When the forklift is on the first-stage tilt, then variabe universe fuzzy control of first-stage tilt is adopted, and when the forklift is on the second-stage tilt, then variabe universe fuzzy control of second-stage tilt is adopted. Virtual prototype model of the whole forklift is established and joint simulation combined with MATLAB/Simulink as well as the verification of real vehicle test are proceeded. Results showed that the lateral stability and the active safety characteristics of forklift can be improved effectively by applying the variable universe fuzzy control theory based on the division of the tilting stage of the forklift.

Key words: counterbalanced forklift truck, dynamic stability test, lateral stability, roll classification, variable universe fuzzy control

CLC Number: