Improvement of ride quality for a wheel loader with semi-active cab isolation system via fuzzy self tuning of PID controller

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Authors

  • Hoang Anh Tan (Corresponding Author) Faculty of Vehicle and Energy Engineering, Thai Nguyen University of Technology
  • Bui Van Cuong Faculty of Vehicle and Energy Engineering, Thai Nguyen University of Technology
  • Nguyen Dinh Tan Faculty of Mechanical Engineering, East Asia University of Technology
  • Nguyen Minh Chau Faculty of Vehicle and Energy Engineering, Thai Nguyen University of Technology
  • Canh Chi Huan Faculty of Vehicle and Energy Engineering, Thai Nguyen University of Technology

DOI:

https://doi.org/10.54939/1859-1043.j.mst.FEE.2023.197-203

Keywords:

Wheel Loader; Cab; Isolation system; Fuzzy-PID controller; Ride comfort.

Abstract

Improving driver ride comfort of a wheel loader is important to avoid potential health hazards from the whole-body vibration. A fuzzy self-tuning of PID controller is designed to control the damping coefficient of Semi-active cab isolation system (SCIS) for a wheel loader. A dynamic model of a wheel loader is establish under survey conditions for analysis and evaluation. The r.m.s acceleration responses of the vertical driver's seat and pitch angle of vehicle body according to ISO2631-1 (1997-E) are chosen as objective functions. The effectiveness of the proposed control strategy is analyzed through simulations involving excitations for a random road profile in time domain. The proposed SCIS is simulated and analyzed by Matlab/Simulink software in comparison with a passive cab isolation system (PCIS) under survey conditions. The achieved results indicate that ride comfort effectiveness of a wheel loader with SCIS is better than PCIS under survey conditions. In addition, the study results are the initial basis for optimizing controller parameters.

References

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Published

10-12-2023

How to Cite

Hoang Anh Tan, Bui Van Cuong, Nguyen Dinh Tan, Nguyen Minh Chau, and Canh Chi Huan. “Improvement of Ride Quality for a Wheel Loader With Semi-Active Cab Isolation System via Fuzzy Self Tuning of PID Controller”. Journal of Military Science and Technology, no. FEE, Dec. 2023, pp. 197-03, doi:10.54939/1859-1043.j.mst.FEE.2023.197-203.

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Research Articles