Research on Modeling and Active Steering Control Algorithm for Electric Forklift Steer-by-Wire System
Author(s) -
Yang Liu,
Benxian Xiao
Publication year - 2016
Publication title -
international journal of intelligent systems and applications
Language(s) - English
Resource type - Journals
eISSN - 2074-9058
pISSN - 2074-904X
DOI - 10.5815/ijisa.2016.11.08
Subject(s) - computer science , control theory (sociology) , yaw , stability (learning theory) , transmission (telecommunications) , control (management) , automotive engineering , engineering , artificial intelligence , telecommunications , machine learning
In this paper, according to the structure characteristics of steer-by-wire (SBW) system for the TFC20 electric forklift, steering dynamics model and two degree of freedom vehicle model are deduced for SBW forklift. Aiming at the free design features of the angular transmission characteristics in the SBW system of electric forklift, the theory of active steering control strategy is studied. After analyzing the influence factors of the angular trans mission ratio of the steering system, the ideal angular transmission ratio is proposed, which is based on the yaw rate gain invariance. Also, the control strategy of the yaw rate feedback and the full state feedback is studied. The simulation results show that the above strategy is effective for the act ive steering control; it can improve the operating stability and the response speed of the forklift.
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