Zhou, Quanyu (TianJin University), Song, Kang (TianJin University), Xie, Hui (Tianjin University)

Nonlinear Scaling Function Based Active Disturbance Rejection Control for Diesel Engine Speed

Scheduled for presentation during the Invited session "Modeling and Control of Advanced Powertrain System" (ThA4), Thursday, October 31, 2024, 11:10−11:30, Room T4

7th IFAC Conference on Engine and Powertrain Control, Simulation and Modeling, Oct 30 - Nov 1, 2024, Dalian, China

This information is tentative and subject to change. Compiled on May 16, 2025

Abstract

For Diesel engines used in power generation, precise rotational speed control is crucial. However, this task is complicated due to stochastic and unmeasurable load torques, as well as noise in speed measurements. This paper proposes a modified active disturbance rejection control (ADRC) algorithm, incorporating a nonlinear scaling function to improve the trade-off between disturbance rejection performance and noise sensitivity. First, based on the first-order model of rotational dynamics, an extended state observer (ESO) with two extended states, namely the load torque and its derivative, is developed. Subsequently, a nonlinear scaling function is designed to simultaneously reduce feedback control gain and reconstruct the speed signal fed back to the ESO. Using the reconstructed speed signal reduces the noise level of the ESO estimation results. Finally, the proposed algorithm is validated through simulations using a high-fidelity MATLAB/Simulink platform. Results demonstrate that, compared to the existing reduced-order ADRC, the disturbance rejection capability is improved by 34.7% in terms of maximum speed deviation from the target value, and the steady-state control input fluctuation amplitude is reduced by 43.6%.