Fuzzy Logic Controller for Semi Active Suspension Based on Magneto-Rheological Damper

Sosthene, Kazima; Musabyimana, Josee; Hui, Xiong Qing

doi:10.18245/ijaet.438045

Cited by 3 publications

(2 citation statements)

References 9 publications

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“…However, when the magnetic field is subjected to the MR fluid, MR fluid forms a chain structure as it is indicated in Figure 5 (b), MR fluids present the anisotropic Bingham behavior which result on resisting on flow and external shear stress. From this property, force or torque of application devices can be easily monitored by the density of magnetic field [12].…”

Section: Magneto Rheological Fluidmentioning

confidence: 99%

Review of semi-active suspension based on Magneto-rheological damper

Josee¹

2021

eng.pers

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Vehicle suspension system plays a critical role in transferring static and dynamic loads produced by the vibration of vehicle body and wheels and absorbing shock vibration caused by road roughness. Low damping provides a better vehicle mass isolation and it give a ride comfort and hard damping provides vehicle stability with good road holding. The need to enhance conflicting odds between ride comfort and vehicle stability makes the design of the suspension a significant part particularly for off-road vehicles. Passive suspension can't mitigate tradeoff between ride comfort and vehicle stability, because it presents a high frequency vibration. It is in this line various types of suspension, like semi-active suspension, active suspension and intelligent suspension have been developed to reduce this compromise need. This paper aims to describe in details different types of vehicle suspensions, their characteristics, and their working principles mode. It illustrates in details the magneto rheological fluid (intelligent fluid) properties, compositions, mechanical model of Magneto-rheological damper like Bingham model and Bouc-Wen model. It also reviews semi active suspension control strategies based on Magneto rheological damper, like skyhook, ground hook, sliding mode, fuzzy logic and linear quadratic Gaussian. Simulations shows that a combination of more than two control strategies provide a better vehicle comfort and vehicle stability at the same time.

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Section: Magneto Rheological Fluidmentioning

confidence: 99%

Review of semi-active suspension based on Magneto-rheological damper

Josee¹

2021

eng.pers

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“…However, since it is based on fuzzy logic which is shown in Table 1., it does not require a mathematical model. a structure based on rules, when applied to ill-defined and dynamic systems, FLC has an advantage over classical controllers [9]. The steps for developing a Fuzzy Logic-based suspension system are as follows:…”

Section: Semi-active Suspension With Fuzzy Controller For Quarter Car Modelmentioning

confidence: 99%

Performance Comparison of Various controllers on Semi-Active Vehicle Suspension System

Walavalkar¹,

Tandel²,

Thakur³

et al. 2021

ITM Web Conf.

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The value of a self-tuning adaptive semi-active control scheme for automotive suspension systems is discussed in this paper. The current vehicle suspension system uses fixed-coeffcient springs and dampers. The ability of vehicle suspension systems to provide good road handling and improve passenger comfort is usually valued. Passive suspension allows you to choose between these two options. Semi-Active suspension(SAS), on the other hand, can provide both road handling and comfort by manipulating the suspension force actuators directly. The semi-active suspension system for a quarter car model is compared to passive and various controllers such as Proportional-Integral, Proportional-Integral-Derivative, Internal model control (IMC)-PID, IMC-PID with filter, FUZZY, and Adaptive-network-based fuzzy inference system(ANFIS) in this analysis. This research could be relevant in the future for designing better car suspension adjustments to eliminate vertical jerks and rolling motion experienced by the vehicle body on bumps and humps.

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Design of Novel BELBIC Controlled Semi-Active Suspension and Comparative Analysis with Passive and PID Controlled Suspension

Sharma

Kumar

2021

Walailak J Sci & Tech

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Passenger comfort, quality of ride, and handling have broughta lot of attention and concern toautomotive design engineers. These 2 parameters must have optimum balance as they have an inverse effect on each other. Researchers have proposed several approaches and techniques like PID control, fuzzy approach, GA, techniques with inspiration from nature and hybrid techniques to attain the same. A new controller based on the learning behavior of the human brain has been used for the control of semi-active suspension in this study. The controller is known as the Brain Emotional Learning-Based Intelligent Controller (BELBIC). A one-fourth model of car along with the driver model having 6 degrees of freedom (DOF) wasmodeled and simulated. The objective of the studywasto analyze the performance of the proposed controller for improving the dynamic response of the vehicle model coupled with complex biodynamic models of the human body as a passenger, making the whole dynamic system very complex to control. The performance wasanalyzed based on percentage reduction in the overshoot of the vehicle’s sprung mass as well as different human body parts when subjected to road disturbances. The proposed controller performance wascompared with the PID controller, widely used in semi-active suspension. The simulation results obtained for BELBIC controlled system for circular road bump showed that the overshoot of passenger head and body wasreduced by 18.84 and 18.82 %, respectively and reduction for buttock and leg displacement was18.87 %. The vehicle’s seat and sprung mass displacement displayedan improvement of 18.90 and 18.51 %. The overshoot of passenger's head and body displacement wasimproved by 19.79and 19.62 %,respectively, whereas improvement for buttock & leg, vehicle’s seat, and sprung mass displacement were19.81, 20.00, and 20.49 % against trapezoidal speed bump. The PID controlled suspension disclosed an improvement of 8.74, 8.53, 8.75, 11.11, 14.75 % against circular bump and 10.72, 10.33, 10.73, 11.11 and 11.75 % against trapezoidal bump for overshoot reduction of passenger head, body, buttock & leg, vehicle’s seat and sprung mass displacement, respectively. The proposed BELBIC controlled semi-active suspension outperformed the widely used PID controlled semi-active suspension and indicated asignificant improvement in the ride quality of the vehicle.

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Fuzzy Logic Controller for Semi Active Suspension Based on Magneto-Rheological Damper

Cited by 3 publications

References 9 publications

Review of semi-active suspension based on Magneto-rheological damper

Review of semi-active suspension based on Magneto-rheological damper

Performance Comparison of Various controllers on Semi-Active Vehicle Suspension System

Design of Novel BELBIC Controlled Semi-Active Suspension and Comparative Analysis with Passive and PID Controlled Suspension

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