Lehrstuhl SRS - Team

Dr.-Ing. Jackson Njiri

Jackson Njiri

Jomo Kenyatta University of Agriculture and Technology, Kenya

RaumMB 352
Tel.:+49 (0) 203 / 3 79 - 21 80

Kurzvita / CV

2016Promotion Dr.-Ing.,
University of Duisburg-Essen, Germany
2011M.Sc. in Mechatronic Engineering,
School of Mechanical, Manufacturing, and Materials Engineering,
Jomo Kenyatta University of Agriculture and Technology, Kenya
2006B.Sc. in Mechatronic Engineering,
Faculty of Engineering,
Jomo Kenyatta University of Agriculture and Technology, Kenya

Veröffentlichungen / Publications

  • Kipchirchir, E.; Do, M. H.; Njiri, J. G.; Söffker, D.: Prognostics-based adaptive control strategy for lifetime control of wind turbines. Wind Energy Science Journal, 8, 2023, pp. 575Ð588.
    • , [PDF], [Link]
  • Kipchirchir, E.; Do, M. H.; Njiri, J. G.; Söffker, D.: Adaptive robust observer-based control for structural load mitigation and speed regulation in commercial wind turbines. IEEE Access, 2023.
    • , [Link]
  • Kipchirchir, E.; Do, M. H.; Njiri, J. G.; Söffker, D.: Mixed-Sensitivity Robust Disturbance Accommodating Control for Load Mitigation and Speed Regulation of Wind Turbines. European Control Conference (ECC) 2022, London, 2022, pp. 1012-1017.
    • , [PDF], [Link]
  • Kipchirchir, E.; Do, M. H.; Njiri, J. G.; Söffker, D.: Adaptive robust observer-based structural load mitigation of wind turbines. Wind Energy Science Conference (WESC) 25-28 May 2021, Hannover, May 25-28, 2021.
    • , [Link]
  • Kipchirchir, E.; Do, M. H.; Njiri, J. G.; Söffker, D.: Prognostics-based adaptive control strategy for lifetime control of wind turbines. Wind Energy Science Conference (WESC) 25-28 May 2021, Hannover, May 25-28, 2021.
    • , [PDF], [Link]
  • Do, M. H.; Njiri, J. G.; Söffker, D.: Structural load mitigation control for wind turbines: A new performance measure. Wind Energy, Vol. 23, No. 4, 2020, pp. 1085-1098.
    • , [PDF], [Link]
  • Beganovic, N.; Njiri, J. G.; Söffker, D.: Reduction of structural loads in wind turbines based on adapted control strategy concerning online fatigue damage evaluation models. Energies, MDPI, Vol. 11 (12), 2018, pp. 3429.
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  • Njiri, J. G.; Beganovic, N.; Do, M. H.; Söffker, D.: Consideration of Lifetime and Fatigue Load in Wind Turbine Control. Renewable Energy, Vol. 131, 2018, pp. 818-828.
    • , [PDF], [Link]
  • Do, M. H.; Njiri, J. G.; Söffker, D.: Structure load mitigation control for nonlinear wind turbines with unmodeled dynamics. 2018 American Control Conference, Milwaukee, USA, 2018.
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  • Beganovic, N.; Njiri, J. G.; Söffker, D.: Wind turbine control strategy deployment concerning remaining useful lifetime prognostic model. Conference for Wind Power Drives 2017, Aachen, March 7-8, 2017, pp. 1-8.
  • Njiri, J. G.; Söffker, D.: State-of-the-Art in Wind Turbine Control: Trends and Challenges. Renewable & Sustainable Energy Reviews, Vol. 60, 2016, pp. 377-393.
    • , [PDF], [Link]
  • Njiri, J. G.; Liu, Y.; Söffker, D.: Multivariable Control of Large Variable-Speed Wind Turbines for Generator Power Regulation and Load Reduction. IFAC-PapersOnLine, Vol. 48(1), 2015, pp. 544-549.
    • , [PDF]
  • Beganovic, N.; Njiri, J. G.; Rothe, S.; Söffker, D.: Application of Diagnosis and Prognosis to Wind Turbine System Based on Fatigue Load. Proc. IEEE Conference on Prognostics and Health Management PHM 2015, Austin, TX, USA, 2015, pp. 1-6.
    • , [Link]
  • Njiri, J. G.; Söffker, D.: Multi-objective Optimal Conrol of Wind Turbines for Speed Regulation and Load Reduction. Proc. ASME 2015 Dynamic Systems and Control (DSC) Conference, Ohio, USA, Vol. 1, 2015, pp. V001T05A002.
    • , [Link]
  • Njiri, J. G.; Liu, Y.; Söffker, D.: Disturbance Attenuation using Proportional-Integral-Observer for Wind Turbine Speed Regulation. Proc. ASME 2014 Dynamic Systems and Control (DSC) Conference, Vol. 3, 2014, pp. V003T53A005.
    • , [Link]