Network synthesis and parameter optimization for vehicle suspension with inerter

Abstract

In order to design a comfortable-oriented vehicle suspension structure, the network synthesis method was utilized to transfer the problem into solving a timing robust control problem and determine the structure of "inerter-spring-damper" suspension. Bilinear Matrix Inequality was utilized to obtain the timing transfer function. Then, the transfer function of suspension system can be physically implemented by passive elements such as spring, damper, and inerter. By analyzing the sensitivity and quantum genetic algorithm, the optimized parameters of inerter-spring-damper suspension were determined. A quarter-car model was established. The performance of the inerter-spring-damper suspension was verified under random input. The simulation results manifested that the dynamic performance of the proposed suspension was enhanced in contrast with traditional suspension. The root mean square of vehicle body acceleration decreases by 18.9%. The inerter-spring-damper suspension can inhibit the vertical vibration within the frequency of 1-3 Hz effectively and enhance the performance of ride comfort significantly.