Enhancing Ride Comfort and Stability of a Large Van Using an Improved
                    Semi-active Stability Augmentation System

Unnithan, Anand Raj Rajasekharan; Subramaniam, Senthilkumar

doi:10.4271/10-06-04-0026

Cited by 11 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this section, a numerical simulation on the bounce sine sweep road is carried out to investigate the effects of VCA position tracking in determining the riding comfort and roll stability of the vehicle. An experimentally validated 45 CarSim large van model is used as the test vehicle in a software-in-the-loop environment. The CarSim creates an S function solver in MATLAB/Simulink.…”

Section: Co-simulation Resultsmentioning

confidence: 99%

Improved particle swarm optimisation tuned PID position control of voice coil semi-active electrohydraulic damper

Rajasekharan Unnithan,

Subramaniam,

Gunasekaran

2023

Proceedings of the Institution of Mechanical Engineers, Part C:

Self Cite

View full text Add to dashboard Cite

Control on the variable damping coefficients in the semi-active damper enhances ride comfort and vehicle stability. The semi-active electrohydraulic damper (SEH) presented in this study incorporates voice coil-based robust valve control to modify the damping coefficients. However, the position tracking accuracy of the voice coil actuator (VCA) gets negatively influenced by the nonlinearities such as load variations due to external disturbances, back emf, and dynamic damper characteristics. Therefore, to achieve excellent position control, a restart particle swarm optimisation with the Gompertz function (PSO-RG) is presented to obtain optimal tuning control gain for the proportional integral derivative controller. The PSO-RG algorithm applies Gompertz function-based particle coefficients and restarting technique. These techniques allow the PSO-RG to overcome the limitations of standard PSO, such as premature convergence and particle entrapment in local minima. The algorithm is tested in five selected benchmark functions for 10, 30 and 50 dimensions. The test data conveys that PSO-RG outperforms the standard PSO in mean, standard deviation, the best solution, and convergence speed. The transient response on identified and validated model of VCA demonstrated a 75.21% reduction in integral absolute error value than conventional PSO. The obtained maximum sensitivity and total variation values proved the robustness and smoothness of PSO-RG tuned PID control. Furthermore, the experimental analysis on the quarter car model shows that PSO-RG tuned PID precisely tracked the reference position with a 21.66% decrease in root mean square error to conventional PSO tuned PID. The CarSim co-simulation test results in the large van model indicate the need for precise VCA position control in enhancing ride comfort and improving the roll stability of the vehicle.

show abstract

Section: Co-simulation Resultsmentioning

confidence: 99%

Improved particle swarm optimisation tuned PID position control of voice coil semi-active electrohydraulic damper

Rajasekharan Unnithan,

Subramaniam,

Gunasekaran

2023

Proceedings of the Institution of Mechanical Engineers, Part C:

Self Cite

View full text Add to dashboard Cite

show abstract

A survey on fuzzy control for mechatronics applications

Precup,

Nguyen,

Blažič

2023

International Journal of Systems Science

View full text Add to dashboard Cite

A Review of Dynamic State Estimation for the Neighborhood System of Connected Vehicles

Wang

Wei

Yang

et al. 2023

SAE Int. J. Veh. Dyn., Stab., and NVH

View full text Add to dashboard Cite

<div>Precise vehicle state and the surrounding traffic information are essential for decision-making and dynamic control of intelligent connected vehicles. Tremendous research efforts have been devoted to developing state estimation techniques. This work investigates the research progress in this field over recent years. To be able to describe the state of multiple traffic elements uniformly, the concept of a vehicle neighborhood system is proposed to describe the system composed of vehicles and their surrounding traffic elements and to distinguish it from the traditional macroscopic traffic research field. In this work, the vehicle neighborhood system consists of three main traffic elements: the host vehicle, the preceding vehicle, and the road. Therefore, a review of state estimation methods for the vehicle neighborhood system is presented around the three traffic objects mentioned earlier. This article performs a comprehensive analysis of these approaches and depicts their strengths and drawbacks. In addition, future research directions on the state estimation of the vehicle neighborhood system are further discussed.</div>

show abstract

Enhancing Ride Comfort and Stability of a Large Van Using an Improved Semi-active Stability Augmentation System

Cited by 11 publications

References 0 publications

Improved particle swarm optimisation tuned PID position control of voice coil semi-active electrohydraulic damper

Improved particle swarm optimisation tuned PID position control of voice coil semi-active electrohydraulic damper

A survey on fuzzy control for mechatronics applications

A Review of Dynamic State Estimation for the Neighborhood System of Connected Vehicles

Contact Info

Product

Resources

About