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所属单位：能源与动力学院

发表刊物：MECHANICAL SYSTEMS AND SIGNAL PROCESSING

关键字：Active front steering Active suspension system Neural network decoupling Inverse system Pseudo linear system

摘要：Steering and suspension are two important subsystems affecting the handling stability and riding comfort of the chassis system. In order to avoid the interference and coupling of the control channels between active front steering (AFS) and active suspension subsystems (ASS), this paper presents a composite decoupling control method, which consists of a neural network inverse system and a robust controller. The neural network inverse system is composed of a static neural network with several integrators and state feedback of the original chassis system to approach the inverse system of the nonlinear systems. The existence of the inverse system for the chassis system is proved by the reversibility derivation of Interactor algorithm. The robust controller is based on the internal model control (IMC), which is designed to improve the robustness and anti-interference of the decoupled system by adding a pre-compensation controller to the pseudo linear system. The results of the simulation and vehicle test show that the proposed decoupling controller has excellent decoupling performance, which can transform the multivariable system into a number of single input and single output systems, and eliminate the mutual influence and interference. Furthermore, it has satisfactory tracking capability and robust performance, which can improve the comprehensive performance of the chassis system. (C) 2017 Elsevier Ltd. All rights reserved.

ISSN号：0888-3270

是否译文：否

发表时间：2018-06-01

合写作者：赵万忠,栾众楷,高琪,邓珂

通讯作者：王春燕,赵万忠