A review on control strategies for passenger car intelligent suspension system

Amer, Noor Hafizah; Ramli, Rahizar; Mahadi, Wan Nor Liza Binti Wan; Abidin, Mohd Azman Zainul

doi:10.1109/inecce.2011.5953915

Cited by 10 publications

(8 citation statements)

References 35 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…Generally, skyhook control is one of the most popular control strategies in a semi-active suspension system for disturbance rejection control and dynamic system stability improvements [25,26]. In the skyhook control system, an imaginary damper is virtually placed between the movable mass and a fictitious stationary sky to eliminate the motion of the movable mass when the dynamic system is subjected to impact force.…”

Section: Skyhook Controllermentioning

confidence: 99%

Modelling and control of a Magneto-Rheological elastomer for impact reduction

Rahmat

Hudha

Kadir

et al. 2019

JMES

View full text Add to dashboard Cite

This article presents the simulation analysis on the effectiveness of impact reduction control based magneto-rheological elastomer isolator device (MREID). The MREID is one of the impact isolator devices that produce controllable stiffness by controlling the input current supply to the device coil. In order to control the input current for MREID, a hybrid control structure combining the skyhook and active force control strategy (HYSAFC) is proposed. Firstly, the characteristics of MREID in squeeze mode are investigated systematically in order to establish the relationship between the supply input current to the subsequent force and impact energy within the MREID. The proposed control strategy is used for force tracking control in determining the amount of input current to be applied to the MREID. The desired input current is determined by a current generator that is developed using inverse ANFIS technique which will regulate the current amount based on the desired force and impact energy. The effectiveness of the actively controlled MREID is evaluated using MATLAB simulations by comparing the performance of the MREID controlled by skyhook control against a passive damper. It is shows that the proposed controller recorded better response compared to skyhook controller, thus improving the stability and the effectiveness in controlling the MRE isolator device.

show abstract

Section: Skyhook Controllermentioning

confidence: 99%

Modelling and control of a Magneto-Rheological elastomer for impact reduction

Rahmat

Hudha

Kadir

et al. 2019

JMES

View full text Add to dashboard Cite

show abstract

“…[8][9][10] These simulations can be developed by the software-in- the-loop (SiL) approach and the hardware-in-the-loop (HiL) approach. 11 The SiL approach claims to include non-linearities and dynamics due to geometric and physical component characteristics simulated by software, while the control system is simulated in another application. The HiL approach refers to computer simulations in which some of the system components are replaced by hardware.…”

Section: Mass Production It Has Mechanical Simplicitymentioning

confidence: 99%

Evaluation of on–off semi-active vehicle suspension systems by using the hardware-in-the-loop approach and the software-in-the-loop approach

Lozoya-Santos

Ramírez-Mendoza

2014

Proceedings of the Institution of Mechanical Engineers, Part D:

View full text Add to dashboard Cite

Three controllers, namely the skyhook controller, the mixed-single-sensor controller and the groundhook controller, are compared using two validation approaches, namely the hardware-in-the-loop approach and the software-in-the-loop approach. The software-in-the-loop approach considers the dynamics (e.g. the body heave, the yaw, the roll, the pitch and the force) and the geometric parameters (the motion ratio of the suspension) without the real-time constraints. This allows an easier debugging and design procedure to be carried out for the control systems. The hardware-in-theloop approach includes a commercial magnetorheological damper for testing the dynamic and transient responses in a control system. It is of interest to compare the conclusions generated under both approaches. The hardware-in-the-loop approach considers an on-off magnetorheological damper, and a quarter-vehicle model in a real-time embedded system. Two types of test were applied: chirp surface road tests and type F surface tests (ISO 8606:1995). For the software-inthe-loop approach the non-linearities and dynamics due to the geometric and physical component characteristics of a vehicle model were simulated by CarSim Ò software, while the non-linear magnetorheological damper model and the controller were running in MATLAB Ò /Simulink Ò . The classical tests for the vehicle, namely the dynamics bounce sine sweep test, the double-lane-change test and the fishhook test, were applied. In the hardware-in-the-loop approach, the best controller was the skyhook controller for comfort and the groundhook controller for road holding. In the software-in-the-loop approach, the mixed-single-sensor controller is the best for comfort, and the groundhook controller can be used in emergency driving conditions since it improves the stability, the road holding and the wheel tramp. The best controller in the hardware-in-the-loop approach and the best controller in the software-in-the-loop approach are not the same since the motion ratio of the automotive suspensions influences the performance of the semiactive control systems; the inclusion of this geometric parameter in further analysis and synthesis of semiactive suspension systems is recommended.

show abstract

“…Different control strategies are developed for the same. Active suspension system is a closed loop control system whereas passive suspension system is an open loop control system [1,2].…”

Section: Introductionmentioning

confidence: 99%

A Novel Approach in Designing PID Controller for Semi-active Quarter Car Model

et al. 2016

View full text Add to dashboard Cite

Abstract. This paper implements Teaching-Learning based optimization (TLBO) to obtain optimized value of spring stiffness for better ride comfort. Further, this optimized value is then used in a semi-active quarter car setup to remove any discrepancies due to non-optimized spring. This paper also introduces a novel approach to control the Semiactive suspension parameter (damping coefficient) for a better performance. For controlling semi-active parameters, PID controller has been used. PID controller output is fed to the quarter car setup as a damping coefficient. Thus changing the damping coefficient dynamically as the disturbance occurs, and thus improving the ride comfort. The sprung mass acceleration and rattle space of semi-active quarter car has been compared with sprung mass acceleration and rattle space of passive quarter car model to show the difference in results and thereby, results and conclusions are drawn.

show abstract

A review on control strategies for passenger car intelligent suspension system

Cited by 10 publications

References 35 publications

Modelling and control of a Magneto-Rheological elastomer for impact reduction

Modelling and control of a Magneto-Rheological elastomer for impact reduction

Evaluation of on–off semi-active vehicle suspension systems by using the hardware-in-the-loop approach and the software-in-the-loop approach

A Novel Approach in Designing PID Controller for Semi-active Quarter Car Model

Contact Info

Product

Resources

About