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Speed Control for a Marine Diesel Engine Based on the Combined Linear-Nonlinear Active Disturbance Rejection Control

Author

Listed:
  • Runzhi Wang
  • Xuemin Li
  • Jiguang Zhang
  • Jian Zhang
  • Wenhui Li
  • Yufei Liu
  • Wenjie Fu
  • Xiuzhen Ma

Abstract

In this paper, a compound control scheme with linear active disturbance rejection control (LADRC) and nonlinear active disturbance rejection control (NLADRC) is designed to stabilize the speed control system of the marine engine. To deal with the high nonlinearity and the complex disturbance and noise conditions in marine engines, the advantages of both LADRC and NLADRC are employed. As the extended state observer (ESO) is affected severely by the inherent characteristics (cyclic speed fluctuation, cylinder-to-cylinder deviations, etc.) of the reciprocating engines, a cycle-detailed hybrid nonlinear engine model is adopted to analyze the impact of such characteristics. Hence, the controller can be evaluated based on the modified engine model to achieve more reliable performance. Considering the mentioned natural properties in reciprocating engines, the parameters of linear ESO (LESO), nonlinear ESO (NLESO), and the switching strategy between LADRC and NLADRC are designed. Finally, various comparative simulations are carried out to show the effectiveness of the proposed control scheme and the superiority of switching strategy. The simulation results demonstrate that the proposed control scheme has prominent control effects both under the speed tracking mode and the condition with different types and levels of load disturbance. This study also reveals that when ADRC related approaches are employed to the reciprocating engine, the impact of the inherent characteristics of such engine on the ESO should be considered well.

Suggested Citation

  • Runzhi Wang & Xuemin Li & Jiguang Zhang & Jian Zhang & Wenhui Li & Yufei Liu & Wenjie Fu & Xiuzhen Ma, 2018. "Speed Control for a Marine Diesel Engine Based on the Combined Linear-Nonlinear Active Disturbance Rejection Control," Mathematical Problems in Engineering, Hindawi, vol. 2018, pages 1-18, December.
  • Handle: RePEc:hin:jnlmpe:7641862
    DOI: 10.1155/2018/7641862
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    Cited by:

    1. Mikulas Huba & Pavol Bistak & Damir Vrancic, 2023. "Parametrization and Optimal Tuning of Constrained Series PIDA Controller for IPDT Models," Mathematics, MDPI, vol. 11(20), pages 1-32, October.

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