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Dr. Afshin Rahimi

Dr. Afshin RahimiAssistant Professor
519-253-3000 ext. 5936
arahimi@uwindsor.ca
Office: 2174 CEI

Education

  • PhD, Aerospace Engineering, Ryerson University, 2017
  • MASc, Aerospace Engineering, Ryerson University, 2012
  • BSc, Aerospace Engineering, Khaje Nasir Toosi University, 2010

Research Interests

  • Model-based and data-driven fault detection, diagnostics, and prognosis
  • Machine learning and intelligent systems
  • Systems and control theory
  • Linear and nonlinear controller/observer design
  • Avionics, sensors, and measurement
  • Intelligent manufacturing

Professional Affiliations

  • Engineering Intern (EIT) - Professional Engineers Ontario - Since 2014
  • IEEE member - Since 2018
  • AIAA member - Since 2018

Selected Publications

  • Rahimi, A., Dev Kumar, K., and Alighanbari, H., “Fault detection and isolation of control moment gyros for satellite attitude control subsystem,” Mechanical Systems and Signal Processing, Vol. 135, Jan. 2020, p. 106419, doi: 10.1016/j.ymssp.2019.106419
     
  • Rahimi, A., Kumar, K. D., and Alighanbari, H., “Failure Prognosis for Satellite Reaction Wheels Using Kalman Filter and Particle Filter,” Journal of Guidance, Control, and Dynamics, Nov. 2019, pp. 1–4, doi: 10.2514/1.G004616
     
  • Rahimi, A., Dev Kumar, K., and Alighanbari, H., “Fault Isolation of Reaction Wheels for Satellite Attitude Control,” IEEE Transactions on Aerospace and Electronic Systems, 2019, pp. 1–1, doi: 10.1109/TAES.2019.2946665
     
  • Rahimi, A., Kumar, K. D., & Alighanbari, H. (2017). Fault estimation of satellite reaction wheels using covariance based adaptive unscented Kalman filter. Acta Astronautica134, 159–169. https://doi.org/10.1016/j.actaastro.2017.02.003
     
  • Rahimi, A., Kumar, K. D., & Alighanbari, H. (2015). Enhanced Adaptive Unscented Kalman Filter for Reaction Wheels. IEEE Transactions on Aerospace and Electronic Systems51(2), 1568–1575. https://doi.org/10.1109/TAES.2014.130766
     
  • Rahimi, A., Dev Kumar, K., & Alighanbari, H. (2013). Particle Swarm Optimization Applied to Spacecraft Reentry Trajectory. Journal of Guidance, Control, and Dynamics36(1), 307–310. https://doi.org/10.2514/1.56387

Websites

 

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