405
Views
9
CrossRef citations to date
0
Altmetric
Review Articles

Adaptive-Fuzzy Fractional Order PID Controller-Based Active Suspension for Vibration Control

ORCID Icon &
Pages 3487-3502 | Published online: 28 May 2020
 

ABSTRACT

Active suspension system has become an integral part of a passenger vehicle as ride comfort is now an essential parameter in the performance of a vehicle. The active suspension system claims complete control over the driver body motion, thus improving the overall ride quality. This work intends to reduce the entire body acceleration of the driver, thereby improving the ride comfort by designing and implementing an efficient controller for an active quarter car system. The proposed Adaptive Fuzzy tuned Fractional Order PID Controller (AFFOPID) is designed and analyzed for a 3 Degree of Freedom (DOF) active quarter car system, incorporating a driver model using MATLAB/SIMULINK software. The efficiency of AFFOPID is dissected against the performance of Fractional Order PID (FOPID), PID and Passive System. The Active Quarter Car Driver model (AQCD) is exposed to single bump, sinusoidal bump and ISO 8606 standards random road for interruptions and the respective results are reviewed. The simulation outcomes of the active quarter car driver model with AFFOPID improve the ride comfort by reducing the Driver Body Acceleration (DBA) amplitude, over all three road profiles. The results, thus validated in-terms of Frequency Weighted Root Mean Square (FWRMS) and Vibration Dose Value (VDV) as per ISO 2631–1 standards, reveal that the AFFOPID reduces the vibration to the best desirable range in comparison to the contemporary FOPID and PID controllers.

Acknowledgements

The authors sincerely acknowledge the support and financial aid render in the form of Senior Research Fellowship (09/468/0531/2019/EMR-I) by Council of Scientific and Industrial Research, New Delhi, India.

Additional information

Funding

This work was supported by Council of Scientific and Industrial Research, India [grant number 09/468/0531/2019/EMR-I].

Notes on contributors

P. Swethamarai

P Swethamarai received her bachelor's degree in electrical and electronics engineering from Anna University, Chennai, India (2010), master's degree in power electronics and drives from Anna University, Chennai, India (2012) and currently, a senior research fellow awarded by CSIR, India in Department of Electrical and Electronics Engineering at Anna University, Chennai, India (2019). She was an assistant professor for a period of five years. Her areas of research include intelligent controllers, vibration control and optimization techniques.

P. Lakshmi

P Lakshmi received her BE from Government College of Technology, Coimbatore, MS and PhD from College of Engineering, Guindy, Anna University, India She is a professor, EEE Department, College of Engineering, Guindy, Chennai, Tamil Nadu, India. Her areas of interest include intelligent controllers, process control and active suspension system. Email: [email protected].

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 100.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.