A Research on Simulation for Semi-Active Suspension Control Based on Immune Algorithm

2013 ◽  
Vol 694-697 ◽  
pp. 2035-2039
Author(s):  
Guang Xing Tan ◽  
Wen Guo Jian ◽  
Shan Li ◽  
Xin Peng Ye
Keyword(s):  
Fuzzy Logic Control ◽  
Degrees Of Freedom ◽  
Active Suspension ◽  
Immune Algorithm ◽  
Vertical Acceleration ◽  
Passive Suspension ◽  
Logic Control ◽  
Suspension Control ◽  
Control Capability ◽  
Suspension Model

Based on two-degrees-of-freedom (2-DOFs) quarter-car semi-active suspension model, a method for semi-active suspension control is proposed based on immune algorithm. According to this algorithm, an immune controller is designed to research and simulation for semi-active suspension control. Simulation results show that the proposed algorithm is effective，and compared with the passive suspension and fuzzy logic control (FLC) algorithm, its control capability is the best. Using immune controller, the RMS of body vertical acceleration, tire loads and suspension distortion are significantly reduced, so vehicle ride performance, handling stability are effectively improved.

Simulation of Hydraulic Semi-Active Suspension System Based on the Adaptive Fuzzy Control

2011 ◽  
Vol 48-49 ◽  
pp. 1065-1068
Author(s):  
Zhi Xuan Jia ◽  
Hui Gang Zhang ◽  
Jie Li
Keyword(s):  
Fuzzy Control ◽  
Degrees Of Freedom ◽  
Fuzzy Controller ◽  
Adaptive Fuzzy Control ◽  
Active Suspension ◽  
Vertical Vibration ◽  
Suspension System ◽  
Suspension Control ◽  
Suspension Model ◽  
Suspension Structure

According to vehicle suspension structure, a 2-DOF (degrees of freedom) semi-active hydraulic suspension model for 1/4 vehicle is built. Fuzzy control as a result of simple modeling, with high precision control and non-linear adaptive advantages of the vehicle active suspension control strategy, has been a wider application. In this paper, the body’s speed and acceleration were selected for the fuzzy controller inputs, damper output, to realize the semi-active suspension control. Taking some type of vehicle as the simulation object, this paper uses Matlab/Simulink for computer simulation in the same road conditions. And the performance parameters of improving vehicle vertical vibration are compared to the passive suspension. The results show that the semi-active suspension system strategy by fuzzy control can obviously improve the comfortable and safe ride.

scholarly journals Modeling and controlling a quarter-vehicle active suspension model

2021 ◽  
Vol 2061 (1) ◽  
pp. 012138
Author(s):  
Vu Hai Quan ◽  
Nguyen Huy Truong ◽  
Nguyen Trong Duc
Keyword(s):  
Simulation Model ◽  
Control Algorithm ◽  
Active Suspension ◽  
Passive Suspension ◽  
The Road ◽  
Control Signals ◽  
Suspension Control ◽  
Suspension Model ◽  
Two Parameters ◽  
Oscillation Damping

Abstract This paper presents an application of the LQR active suspension control algorithm for a vertical planar oscillation model developed for ¼ of a vehicle. The wheel smoothness and dynamics with the road surface are two parameters to provide control signals. A simulation model is developed here based on MATLAB software to compare and evaluate the LQR active suspension model with the passive suspension. The results obtained here shows an improvement for a number of parameters when utilizing the active suspension model including fluctuating amplitude; oscillation damping time; the displacement acceleration of the active suspension body.

Research on performance of vehicle semi-active suspension applied magnetorheological damper based on linear quadratic Gaussian control

2020 ◽  
Vol 51 (7-9) ◽  
pp. 119-126
Author(s):  
Shujing Sha ◽  
Zhongnan Wang ◽  
Haiping Du
Keyword(s):  
Active Suspension ◽  
Magnetorheological Damper ◽  
Optimal Feedback Control ◽  
Force Output ◽  
Linear Quadratic ◽  
Damping Force ◽  
Linear Quadratic Gaussian ◽  
Passive Suspension ◽  
Front Suspension ◽  
Suspension Model

With the development of automobile technology, the traditional passive suspension cannot meet people’s requirements for vehicle comfort and safety. For this reason, a variable damping semi-active suspension applied magnetorheological damper is proposed. By collecting various performance parameters of the front suspension, the optimal feedback control matrix is obtained by applying linear quadratic Gaussian control strategy, and the optimal damping force output is also obtained to improve comfort and vehicle safety by reducing vibration. The semi-active suspension model of a quarter vehicles was established by MATLAB/Simulink, and the simulation experiment was carried out. The results show that the semi-active suspension system with magnetorheological damper is superior to the traditional passive suspension in terms of vibration absorption; meanwhile, the root mean square values of vehicle acceleration, suspension dynamic deflection, tire dynamic travel, and tire dynamic load are reduced, which effectively improve the vehicle ride stability.

Effective Design of Active Suspension System using Fuzzy Logic Control Approach

2019 ◽  
Vol 11 (5) ◽  
Author(s):  
Mohd Avesh ◽  
Rajeev Srivastava ◽  
Rakesh Chandmal Sharma ◽  
Neeraj Sharma
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Active Suspension ◽  
Suspension System ◽  
Ride Quality ◽  
Hardware Complexity ◽  
Control Approach ◽  
Logic Control ◽  
Rules Set

The study deals with the light passenger vehicle suspension system design to improve the ride quality. The fuzzy logic control approach is applied to the half car suspension system model by adjusting the control parameters and properties using online adaptation with a minimized cost function and reduced hardware complexity. The performance of resulting model is tested under the influence of trapezoidal and triangular membership functions using the 9, 25 and 49 rules-set. The controller robustness is observed at different performance indices. Road excitations in the form of disturbance input are modelled as the sinusoidal function of a speed bump to reveal the transient response of the automotive body. Ultimately, the performance of active suspension system has been improved in terms of displacement and acceleration of seat, heave, pitch, and roll by the application of proposed fuzzy logic controller. Results reported that the trapezoidal shape 25 rules set membership function based fuzzy logic controller gives the best performance between the investigated systems.

scholarly journals Design of the optimal control for the active suspension

2021 ◽  
Vol 31 ◽  
pp. 1-6
Author(s):  
Sorin MARCU ◽  
◽  
Dinel POPA ◽  
Nicolae-Doru STANESCU ◽  
Nicolae PANDREA
Keyword(s):  
Optimal Control ◽  
Degrees Of Freedom ◽  
Active Suspension ◽  
Suspension System ◽  
Vertical Acceleration ◽  
Passive System ◽  
Active System ◽  
Matlab Simulink ◽  
Two Degrees Of Freedom ◽  
Lqr Control

The main purpose of the suspension is to minimize vertical acceleration. Through this paper we aim to analyze two PID and LQR control techniquesto reduce system vibrations. The active system will be compared to a passive system using two types of profile. Matlab / Simulink software is used to evaluate the performance of the two controllers using a system with two degrees of freedom. The analysis shows that we can control the suspension system using the two techniques to improve the comfort and safety of the vehicle.

Active Suspension Control via Redundant Actuation

2004 ◽  
Author(s):  
Robert A. Freeman
Keyword(s):  
Degrees Of Freedom ◽  
Frontal Plane ◽  
Redundant Actuation ◽  
Suspension Systems ◽  
Stiffness Model ◽  
Suspension Control ◽  
Redundantly Actuated ◽  
Automotive Suspension ◽  
Suspension Model ◽  
And Control

The use of redundant actuation in the design and control of active automotive suspension systems is described. Redundantly actuated systems consist of more active force / torque inputs than degrees-of-freedom and allow for active control of the effective stiffness of the system to the environment without a change in the equilibrium position. A frontal plane half-car, double A-arm, independent suspension model is investigated. Results show that five actuators, with one connecting the two suspensions, is required for full stiffness and motion control. Due to the dependence of this approach on correct stiffness modeling a previously developed stiffness model is reviewed. The validity of this model is illustrated through some simple yet sufficient examples.

Vehicle Active Suspension with Four-Degrees of Freedom of Optimizing the Value of K Based on Genetic Algorithm

2011 ◽  
Vol 308-310 ◽  
pp. 1673-1678
Author(s):  
Yan Yan Zuo ◽  
Cai Bao Yan ◽  
Nan Yang
Keyword(s):  
Genetic Algorithm ◽  
Optimal Control ◽  
Optimal Control Theory ◽  
Degrees Of Freedom ◽  
Ride Comfort ◽  
Control Method ◽  
Active Suspension ◽  
Obvious Effect ◽  
Comprehensive Performance ◽  
Suspension Model

A vehicle active suspension model with 1 / 2 ，four-degrees of freedom is established and by combining genetic algorithm with optimal control theory，the author presents a new control method of active suspension that is to optimize the value of K controlled by LQG in default of road input based on genetic algorithm and makes a simulation in the environment of Matlab / Simulink. By simulation and analysis，the result indicates that，this method has an obvious effect on improving comprehensive performance of vehicles，such as ride comfort and operate stability and so on.

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