Design of robust H&lt;inf&gt;&amp;#x221E;&lt;/inf&gt;, fuzzy and LQR controller for active suspension of a quarter car model

Kaleemullah, Md.; Faris, Waleed Fekry; Hasbullah, Faried

doi:10.1109/icom.2011.5937197

Cited by 31 publications

(12 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…is the desired state vector to track the input commands and keep the magnet in the desired position, while minimizing the quadratic cost function [22]:…”

Section: Controller Design Methodsmentioning

confidence: 99%

Design of optimised linear quadratic regulator for capsule endoscopes based on artificial bee colony tuning algorithm

2018

IJEM

View full text Add to dashboard Cite

Wireless Capsule Endoscope (WCE) is a new medical device that can be used for examining the whole digestive tract if effectively actuated. In this paper, a new three-coil actuator is proposed for the capsule endoscope navigation system. The proposed system, which is based on the currentcontrolled magnetic levitation concept, utilises a small permanent magnet within the capsule body and an arrangement of controlled electromagnet actuator placed on a movable frame. The dynamics of the proposed control system is modelled mathematically and then formulated in state space form. In this research, the Linear Quadratic Regulator (LQR) technique is used for designing a 3DOF controller for the capsule actuation system. Artificial Bee Colony (ABC) tuning algorithm is used for obtaining optimum values for controller gain parameters. The optimised LQR controller is simulated by using the Matlab/Simulink tool, and its performance is then evaluated based on the stability and control effort parameters to validate the proposed system. Finally, the simulation results suggest that the LQR controller based on the ABC optimisation method can be adopted to synthesise an effective capsule actuation system.

show abstract

“…is the desired state vector to track the input commands and keep the magnet in the desired position, while minimizing the quadratic cost function [22]:…”

Section: Controller Design Methodsmentioning

confidence: 99%

Design of optimised linear quadratic regulator for capsule endoscopes based on artificial bee colony tuning algorithm

2018

IJEM

View full text Add to dashboard Cite

show abstract

“…Some researchers focused on designing an active car suspension that is working by a linear controller for improving the ride quality while maintaining good handling characteristics in confronting with road disturbance. The proposed method is then compared with robust H∞ controller, LQR controller and Fuzzy control (Kaleemullah et al, 2011).…”

Section: Active Semi Active and Passive Suspension Systemsmentioning

confidence: 99%

A new method to improve passenger vehicle safety using intelligent functions in active suspension system

Rezanoori¹,

Ariffin²,

Delgoshaei³

et al. 2019

10.5267/j.esm

View full text Add to dashboard Cite

In this research a new electronic based mechanism for vehicle suspension system is designd. The aims are to improve passengers' safety and comfort. The proposed system is developed for proactive rapid reaction of suspension system which can readjust the height of chassis while confronting with wrong conditions of driving such as unflatted road, rainy or snowy road profile. The results show that the proposed mechanism can successfully increase the stability of the car by readjusting the height of the the chassis and center of the gravity of vehicle while turning.

show abstract

“…A significant amount of papers use 2 degree of freedom (2 DoF) quarter models [1,4,9]. Recently, a 7 DoF model, also referred to as the 'full-car model', has become popular [3,5,7,12,15].…”

Section: Modellingmentioning

confidence: 99%

Fuzzy Control for Semi-Active Vehicle Suspension

Kurczyk

Pawełczyk

2013

Journal of Low Frequency Noise, Vibration and Active Control

View full text Add to dashboard Cite

In this paper semi-active control of the suspension of an all-terrain vehicle is considered. A seven degree of freedom suspension model is presented first. A fuzzy approach for controller synthesis is then proposed. Expert knowledge is stored in the form of IF-THEN rules. The Takagi-Sugeno inference system is employed, with triangle membership functions. The fuzzy system output is the damper coefficient. In contrary to many other control algorithms, the presented fuzzy algorithm does not require inverse modelling of the magnetorheological damper. Instead, some scaling parameters are set. They can be chosen experimentally, or a bio-inspired strategy can be applied. The fuzzy control is then compared with the Skyhook control in simulations, in terms of road holding and driving comfort indicators. Obtained results are similar. However, lack of necessity to use an MR inverse model allows the fuzzy system to provide successful performance in case of different operating conditions, what is an important benefit.

show abstract

Design of robust H<inf>∞</inf>, fuzzy and LQR controller for active suspension of a quarter car model

Cited by 31 publications

References 11 publications

Design of optimised linear quadratic regulator for capsule endoscopes based on artificial bee colony tuning algorithm

Design of optimised linear quadratic regulator for capsule endoscopes based on artificial bee colony tuning algorithm

A new method to improve passenger vehicle safety using intelligent functions in active suspension system

Fuzzy Control for Semi-Active Vehicle Suspension

Contact Info

Product

Resources

About