Intelligent Control for Vibration Reduction and Falling-Forward Prevention of Forklift

Abstract

In this paper we present an intelligent control method that uses a cubic neural network (CNN) to improve the stability of a forklift while it is being driven Since the forklift, a kind of human-machine system, has a high center of mass, the human driving safety to prevent it from falling forward is an important problem. Two kinds of controllers for reducing vibration and preventing the forklift from falling forward are designed by the CNN intelligent control method and evaluated by evaluators that can interpret and evaluate human operatiorl in each level of CNN. Finally, these controllers are integrated by an integrator. From numerical simulations and experiments it is shown that the proposed integrated intelligent control method using CNN can reduce vibration and at the same time prevent a forklift from falling forward.