PSO Optimized Fuzzy Logic Controller for Active Suspension System

2010 ◽  
Author(s):  
K. Rajeswari ◽  
P. Lakshmi
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Active Suspension ◽  
Suspension System

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 Performance Analysis of a Semiactive Suspension System with Particle Swarm Optimization and Fuzzy Logic Control

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Abroon Jamal Qazi ◽  
Clarence W. de Silva ◽  
Afzal Khan ◽  
Muhammad Tahir Khan
Keyword(s):  
Fuzzy Logic ◽  
Particle Swarm Optimization ◽  
Fuzzy Logic Controller ◽  
Ride Comfort ◽  
Particle Swarm ◽  
Active Suspension ◽  
Suspension System ◽  
Swarm Optimization ◽  
Quarter Model ◽  
Semiactive Suspension

This paper uses a quarter model of an automobile having passive and semiactive suspension systems to develop a scheme for an optimal suspension controller. Semi-active suspension is preferred over passive and active suspensions with regard to optimum performance within the constraints of weight and operational cost. A fuzzy logic controller is incorporated into the semi-active suspension system. It is able to handle nonlinearities through the use of heuristic rules. Particle swarm optimization (PSO) is applied to determine the optimal gain parameters for the fuzzy logic controller, while maintaining within the normalized ranges of the controller inputs and output. The performance of resulting optimized system is compared with different systems that use various control algorithms, including a conventional passive system, choice options of feedback signals, and damping coefficient limits. Also, the optimized semi-active suspension system is evaluated for its performance in relation to variation in payload. Furthermore, the systems are compared with respect to the attributes of road handling and ride comfort. In all the simulation studies it is found that the optimized fuzzy logic controller surpasses the other types of control.

Active Vibration Control of Automotive Suspension System using Fuzzy Logic Algorithm

2017 ◽  
Vol 9 (2) ◽  
Author(s):  
A.S Emam
Keyword(s):  
Fuzzy Logic ◽  
Degrees Of Freedom ◽  
Fuzzy Logic Controller ◽  
Ride Comfort ◽  
Active Vibration Control ◽  
Active Suspension ◽  
Suspension System ◽  
Performance Criteria ◽  
Road Disturbance ◽  
Automotive Suspension

This study details an efficient fuzzy logic controller (FLC) to improve the performance of active automotive suspension system. A comparison between passive and FLC active suspensions is performed. A mathematical model of automotive active suspension has six degrees of freedom and two input forces generated by two separate actuators are solved using Matlab Simulink. In order to evaluate the effectiveness of the proposed controller under random road disturbance, several performance criteria are assessed based on the dynamic response of the half automotive suspension system. Simulation results of the active suspension system based on the fuzzy logic clearly have been provided to illustrate the effectiveness of the FLC under different road conditions and confirmed that fuzzy logic is very effective for enhancing ride comfort and stability of the vehicle.

Dual Purpose Fuzzy Logic Controller for an Active Suspension System

2002 ◽  
Author(s):  
J. R. Mock ◽  
D. A. Weeks ◽  
J. H. Beno ◽  
S. P. Nichols ◽  
D. A. Bresie ◽  
...  
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Active Suspension ◽  
Suspension System ◽  
Dual Purpose

scholarly journals Design and Testing of Fuzzy Logic Based Controller for Active Suspension System of a Quarter Car Model

2020 ◽  
Vol 9 (3) ◽  
pp. 3522-3532
Keyword(s):  
Fuzzy Logic ◽  
Fuzzy Logic Controller ◽  
Active Suspension ◽  
Suspension System ◽  
Hydraulic Actuator ◽  
Labview Software ◽  
Quarter Car Model ◽  
Car Model ◽  
Main Challenge ◽  
Quarter Car

In today’s scenario, due to increase in sales of Sports Utility Vehicles (SUV’s) more and more people are opting for off road drive. The main challenge is to improve the performance based on handling and comfort. Hence the conventional static spring and damper system are being modified to accommodate semi-active and active systems. In this paper to study the effectiveness of active suspension system, a quarter car model is developed and Fuzzy control strategy is proposed to reduce displacement of chassis. Hydraulic actuator is used to provide active control in the suspension system of the quarter car model. The fuzzy logic controller is interfaced with the hardware system by LabVIEW software. For connecting the hardware with LabVIEW software Arduino is used. The comparison of active and passive suspension system shows that the chassis displacement is decreased by 30% in case of active suspension system whereas the settling time decreases by 69%.

Studying of Fuzzy Logic Control for Semi-Active Suspension Based on Improved Genetic Algorithm

2010 ◽  
Vol 143-144 ◽  
pp. 929-932
Author(s):  
Jing Jun Zhang ◽  
Zhi Qiang Xu
Keyword(s):  
Genetic Algorithm ◽  
Fuzzy Logic ◽  
Fuzzy Logic Control ◽  
Fuzzy Logic Controller ◽  
Active Suspension ◽  
Suspension System ◽  
Improved Genetic Algorithm ◽  
Logic Control ◽  
Car Suspension ◽  
Genetic Algorithm Approach

Establishing a 2-DOFs of 1/4 semi-active suspension system model, using genetic algorithm approach, to design fuzzy logic controller of the semi-active suspension and simulate in the environment of Matlab/Simulink. The results of being compared with the passive suspension demonstrate is that this developed fuzzy logic controller based on genetic algorithm enhances the performance of the full car suspension system significantly.

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