Fuzzy PID controller simulation for a quarter-car semi-active suspension system using Magnetorheological damper

2012 ◽  
Author(s):  
Mohammadjavad Zeinali ◽  
Intan Zaurah Mat Darus
Keyword(s):  
Pid Controller ◽  
Active Suspension ◽  
Suspension System ◽  
Magnetorheological Damper ◽  
Fuzzy Pid ◽  
Fuzzy Pid Controller ◽  
Quarter Car

Influence of Fuzzy-PID Controller on Semi-Active Suspension System Performance Using Magnetorheological Damper Fuzzy Model

2014 ◽  
Vol 663 ◽  
pp. 243-247 ◽  
Author(s):  
Mohammadjavad Zeinali ◽  
Saiful Amri Mazlan ◽  
Mohd Azizi Abdul Rahman
Keyword(s):  
Pid Controller ◽  
Fuzzy Model ◽  
Active Suspension ◽  
Suspension System ◽  
Magnetorheological Damper ◽  
Fuzzy Pid ◽  
Improve Performance ◽  
Fuzzy Pid Controller ◽  
Neuro Fuzzy ◽  
Better Than

Semi-active suspension system is a promising device to improve performance of the suspension system by using optimal controller for magnetorheological damper. The importance of magnetorheological damper is the capability to control the semi-active suspension system by adjusting the input current exerted to the coil of wire to produce magnetic field. In this paper, a fuzzy-PID controller has been applied in a quarter car semi-active suspension system to examine the performance of the system. The whole suspension system is modelled in Simulink environment/MATLAB software in which a neuro-fuzzy model of magnetorheological damper is utilized as a mathematical model of the damper. A disturbance profile is utilized to evaluate performance of the system. Simulation results show that the proposed semi-active suspension system has successfully absorbed disturbances much better than PID controller. In addition, the accuracy of the magnetorheological damper model influences the performance of the semi-active suspension system.

Design of Fuzzy-PID Controller for Ride Comfort Enhancement of a Half-Vehicle with Active Suspension System

2013 ◽  
Vol 313-314 ◽  
pp. 382-386
Author(s):  
Wen Kui Lan ◽  
Er Dong Ni
Keyword(s):  
Pid Controller ◽  
Passive Control ◽  
Ride Comfort ◽  
Control Method ◽  
Active Suspension ◽  
Suspension System ◽  
The Body ◽  
Fuzzy Pid ◽  
Vehicle Model ◽  
Fuzzy Pid Controller

A fuzzy-PID controller is developed and applied to the active suspension system for the ride comfort enhancement of a half-vehicle model. A four degree-of-freedom vehicle model with active suspension system is proposed, which focused on the passenger’s ride comfort performance, and a fuzzy-PID controller is developed by incorporating the fuzzy logic control mechanism into the modifications of the PID structure. The performance of the proposed controller has been verified by comparing it with passive control method in MATLAB/Simulink. The simulation results indicate that the developed fuzzy-PID controller enhances the ride comfort performance of the vehicle active suspension system by reducing the body acceleration and pitch angle significantly.

A GSA-based adaptive fuzzy PID-controller for an active suspension system

2016 ◽  
Vol 33 (6) ◽  
pp. 1659-1667 ◽  
Author(s):  
Chun-Tang Chao ◽  
Ming-Tang Liu ◽  
Juing-Shian Chiou ◽  
Yi-Jung Huang ◽  
Chi-Jo Wang
Keyword(s):  
Pid Controller ◽  
Search Algorithm ◽  
Gravitational Search Algorithm ◽  
Suspension System ◽  
Fuzzy Pid ◽  
Content Type ◽  
Fuzzy Pid Controller ◽  
Fast Learning ◽  
Automobile Suspension ◽  
Hybrid Fuzzy Pid

Purpose – The purpose of this paper is to propose a novel design for determining the optimal hybrid fuzzy PID-controller of an active automobile suspension system, employing the gravitational search algorithm (GSA). Design/methodology/approach – The hybrid fuzzy PID-controller structure is an improvement to fuzzy PID-controller by incorporating a fast learning PID-controller. Findings – The GSA can adjust the parameters of the PID-controller to achieve the optimal performance. Research limitations/implications – The GSA may have the advantage of quick convergence, but the required computation may be intensive. Practical implications – The simulation results demonstrate the effectiveness of the proposed approach on active automobile suspension system. Originality/value – In order to demonstrate the theoretical guarantee of the proposed method, comparisons with particle swarm optimization or other methods has also been carried out.

scholarly journals Semi-active control of a nonlinear quarter-car model of hyperloop capsule vehicle with Skyhook and Mixed Skyhook-Acceleration Driven Damper controller

2021 ◽  
Vol 13 (2) ◽  
pp. 168781402199952
Author(s):  
Birhan Abebaw Negash ◽  
Wonhee You ◽  
Jinho Lee ◽  
Changyoung Lee ◽  
Kwansup Lee
Keyword(s):  
Resonance Frequency ◽  
Mr Damper ◽  
Active Suspension ◽  
Vertical Displacement ◽  
Suspension System ◽  
Magnetorheological Damper ◽  
Quarter Car Model ◽  
Car Model ◽  
Quarter Car ◽  
And Performance

A suspension system is one of the integral parts of a hyperloop capsule train, which is used to isolate the car-body from bogie vibration to provide a safer and comfortable service. A semi-active suspension system is one of the best candidates for its advantageous features. The performance of a semi-active suspension system relies greatly on the control strategy applied. In this article, Skyhook (SH) and mixed Skyhook-Acceleration Driven Damper (SH-ADD) controlling algorithms are adopted for a nonlinear quarter-car model of a capsule with semi-active magnetorheological damper. The nonlinear vertical dynamic response and performance of the proposed control algorithms are evaluated under MATLAB Simulink environment and hardware-in-loop-system (HILS) environment. The SH controlled semi-active suspension system performance is found to be better at the first resonance frequency and worse at the second resonance frequency than the passive MR damper, but the mixed SH-ADD controlled semi-active suspension system performs better than the passive at all frequency domains. Taking the root-mean-square (RMS) value of sprung mass vertical displacement as an evaluation criterion, the response is reduced by 58.49% with mixed SH-ADD controller and by 54.49% with the SH controller compared to the passive MR damper suspension.

scholarly journals Quarter Car Active Suspension System Control Using PID Controller tuned by PSO

2015 ◽  
Vol 11 (2) ◽  
pp. 151-158 ◽  
Author(s):  
Wissam Al-Mutar ◽  
Turki Abdalla
Keyword(s):  
Pid Controller ◽  
Active Suspension ◽  
Suspension System ◽  
System Control ◽  
Hydraulic Actuator ◽  
Passive Suspension ◽  
Car Suspension ◽  
Road Profile ◽  
Passive Suspension System ◽  
Quarter Car

The objective of this paper is to design an efficient control scheme for car suspension system. The purpose of suspension system in vehicles is to get more comfortable riding and good handling with road vibrations. A nonlinear hydraulic actuator is connected to passive suspension system in parallel with damper. The Particles Swarm Optimization is used to tune a PID controller for active suspension system. The designed controller is applied for quarter car suspension system and result is compared with passive suspension system model and input road profile. Simulation results show good performance for the designed controller.

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