Comfort-Oriented Semi-Active Suspension Configuration with Inerter-Based Network Synthesis

Author:

Li Yalin12,Han Shichang123,Xiong Junlin12,Wang Wenbo1ORCID

Affiliation:

1. Faculty of Mechanical and Electrical Engineering, Kunming University of Science and Technology, Kunming 650504, China

2. Yunnan International Joint Laboratory of Intelligent Control and Application of Advanced Equipment, Kunming 650504, China

3. Yunnan Dahongshan Pipeline Co., Ltd., Kunming 650302, China

Abstract

This paper presents a comfort-oriented semi-active suspension system composed of a network-synthesized passive section and a controllable section based on a semi-active inerter. Firstly, the semi-active suspension system is divided into a passive part and a controllable part. For the passive part, first-order and second-order robust positive real controllers are designed. The problem with H2 cost is considered, and the bilinear matrix inequalities (BMI) are solved using an iterative method to obtain two admittance functions. The admittance functions are physically realized as two mechanical networks composed of mechanical passive elements such as inerter, spring, and damper (ISD). Then, the parameters of these mechanical elements in those networks are optimized by Particle Swarm Optimization (PSO). Secondly, a semi-active inerter based on Sky-hook control is introduced for the semi-active part of the suspension system. Finally, the semi-active ISD suspension structure is verified by a quarter vehicle model. The simulation results show that the first-order and second-order suspension systems optimize the RMS of the spring mass acceleration by 14.2% and 23.9%, respectively, as compared to traditional suspension systems. Furthermore, frequency-domain analysis also shows that both suspension systems effectively reduce the value of spring mass acceleration in the low-frequency band.

Funder

Science and Technology Program of Science and Technology Department of Yunnan Province

Publisher

MDPI AG

Subject

Control and Optimization,Control and Systems Engineering

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