Numerical Comparison of PI and Neural Network-Based Controllers for the Hydrostatic Unit in Hydro-mechanical Transmissions of Self-propelled Vehicles

Date Received: May 22, 2024

Date Accepted: Nov 28, 2024

Date Published: Dec 20, 2024

DOI: https://doi.org/10.31817/vjas.2024.7.4.

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Issue: Vol. 7 No. 4 (2024): Vietnam Journal of Agricultural Sciences

Section:

ENGINEERING AND TECHNOLOGY

How to Cite:

Danh, D., Duc, B., Hue, N., & Canh, V. (2024). Numerical Comparison of PI and Neural Network-Based Controllers for the Hydrostatic Unit in Hydro-mechanical Transmissions of Self-propelled Vehicles. Vietnam Journal of Agricultural Sciences, 7(4), 2294–2304. https://doi.org/10.31817/vjas.2024.7.4.

Numerical Comparison of PI and Neural Network-Based Controllers for the Hydrostatic Unit in Hydro-mechanical Transmissions of Self-propelled Vehicles

Dang Ngoc Danh (*) 1 , Bui Viet Duc 2 , Nguyen Thi Hue 2   , Vu Cong Canh 2

  • Corresponding author: dndanh@vnua.edu.vn
  • 1 Faculty of Engineering, Vietnam National University of Agriculture, Hanoi 12400, Vietnam
  • 2 Institute of Engineering Technology Development, Vietnam National University of Agriculture, Hanoi 12400, Vietnam

    • Keywords

    Hydrostatic transmissions, hydro-mechanical transmissions, transmission ratio control, model-free control, neural network-based control

    Abstract


    The application of hydro-mechanical transmissions is recently the trend in agricultural vehicles where a continuously variable transmission ratio has advantages. Hydro-mechanical transmissions provide efficient power transfer while maneuverability is still maintained, and therefore, fuel efficiency is enhanced. Nevertheless, the main issue in their employment is a precise control of the hydrostatic unit, whose physical characteristics are highly nonlinear and affected by unknown disturbances. In order to exploit the advantages of the system, the transmission ratio of the hydrostatic unit needs to be controlled properly to maintain the optimal working point of the internal combustion engine (ICE). This article presents numerical comparison results of a proportional-integral (PI) and a neural network (NN) based controller applied to the hydrostatic unit of a hydro-mechanical transmission system, which was designed to be deployed on a self-propelled agricultural vehicle. The controls were established in a discrete-time domain aiming at a practical outcome, where the control algorithm could be implemented on an industrial computer to perform the control tasks.

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