Minimizing Power Consumption of Fully Active Vehicle Suspension System Using Combined Multi-Objective Particle Swarm Optimization

2019 ◽  
Author(s):  
Ahmed Elsawaf ◽  
H. Metered ◽  
A. Abdelhamid
Keyword(s):  
Particle Swarm Optimization ◽  
Power Consumption ◽  
Particle Swarm ◽  
Suspension System ◽  
Vehicle Suspension ◽  
Swarm Optimization ◽  
Multi Objective ◽  
Vehicle Suspension System ◽  
Active Vehicle Suspension System

scholarly journals LQR Tuning by Particle Swarm Optimization of Full Car Suspension System

2018 ◽  
Vol 7 (2.13) ◽  
pp. 328 ◽  
Author(s):  
Muhammad Assahubulkahfi ◽  
Yahaya Md. Sam ◽  
Andino Maseleno ◽  
Miftachul Huda
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Vertical Movement ◽  
Suspension System ◽  
Swarm Optimization ◽  
Quality Of Control ◽  
Car Suspension ◽  
Movement Performance ◽  
Vehicle Suspension System

This paper attempts to examine the potential value in showing the performance of Particle Swarm Optimization (PSO) in order to produce diagonal components of matrix Q, R. The linear model was used in this system, because it has ability to describe all basic performance that exist in full car vehicle suspension system such as roll, pitch, body sprung and each wheel vertical movement. Performance of suspension system measured by range of acceleration arise in automobile body. Drive handling and comfort is an opposite condition. Balancing condition of both define quality of control strategy of suspension system. The disturbances are applied to all tires in testing scenario of applied control algorithm. The simulation result shown better performance of LQR tuning by PSO than passive and LQR without tuning system.

Integrated design of active suspension parameters for solving negative vibration effects of switched reluctance-in-wheel motor electrical vehicles based on multi-objective particle swarm optimization

2018 ◽  
Vol 25 (3) ◽  
pp. 639-654 ◽  
Author(s):  
Zhe Li ◽  
Ling Zheng
Keyword(s):  
Particle Swarm Optimization ◽  
Particle Swarm ◽  
Active Suspension ◽  
Optimization Method ◽  
Suspension System ◽  
Electromagnetic Excitation ◽  
Pareto Solution ◽  
Swarm Optimization ◽  
Multi Objective ◽  
Electrical Vehicles

As for the elastic layout of the direct-driven electric wheel system, the electromechanical coupling between the electromagnetic excitation of in-wheel driving motor and the weak damping system gives rise to negative vibration issues, which further deteriorate the dynamic performance of the electric vehicle. This paper presents a multi-objective optimization method for active suspension system to solve these issues by developing an integrated in-wheel motor electrical vehicles model. The unbalanced electromagnetic excitation from in-wheel driving motor is investigated by means of analytical and finite element methods. The Pareto solution set of optimal parameters are generated by the multi-objective particle swarm optimization method, and a comparison in vehicle dynamic performances is made to verify the targeted optimization method. The simulation results indicate that the optimized active suspension system attenuates the sensitivity of the vehicle system to electromagnetic excitation with a satisfactory balancing between vehicle ride comfort and stability as well as active suspension utilization.

Magnetorheological damper in semi-active vehicle suspension system using SDRE control for a quarter car model

2018 ◽  
Author(s):  
Maria Aline Gonçalves ◽  
Rodrigo Tumolin Rocha ◽  
Frederic Conrad Janzen ◽  
José Manoel Balthazar ◽  
Angelo Marcelo Tusset
Keyword(s):  
Suspension System ◽  
Magnetorheological Damper ◽  
Vehicle Suspension ◽  
Quarter Car Model ◽  
Car Model ◽  
Quarter Car ◽  
Vehicle Suspension System ◽  
Active Vehicle Suspension System
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