Title: Resonant automotive suspension device detection bench based on fuzzy comprehensive recognition algorithm

Authors: Xuelian Tian

Addresses: Department of Information Engineering, Chengdu Vocational and Technical College of Industry, Chengdu, 610218, China

Abstract: Suspension affects the stability, ride comfort, handling stability, safety and other performance of the body. In this paper, the fuzzy comprehensive identification algorithm is introduced into the vehicle resonance suspension device detection. The fuzzy comprehensive identification algorithm is used to identify the vehicle mode, calculate the change of vehicle inertia parameters, and propose a higher damping ratio which has a greater impact on the vehicle identification results. Based on the fuzzy comprehensive identification (FCRA) algorithm, a resonant vehicle suspension device detection platform is proposed, which detects the resonant vehicle suspension device caused by the fault by the change of the fuzzy comprehensive identification coefficient and the required modal parameters of the output. The test results show that the performance of the resonant suspension device test-bed is stable and can meet the needs of the performance test of the vehicle suspension device.

Keywords: fuzzy comprehensive recognition algorithm; FCRA; resonant automotive suspension device; detection bench; optimisation.

DOI: 10.1504/IJISE.2021.120640

International Journal of Industrial and Systems Engineering, 2021 Vol.39 No.4, pp.447 - 460

Received: 30 May 2019
Accepted: 01 Dec 2019
Published online: 31 Jan 2022 *

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