Robust control system design using simulated annealing

Toshikazu Motoda, Robert F. Stengel, Yoshikazu Miyazawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Scopus citations


Design parameters of a flight control system are optimized by a probabilistic method. Simulated Annealing is applied for the optimization while the Downhill-Simplex method is added to generate new design vector candidates. The cost function to be minimized is chosen as the probability of violating the design criteria, and it is derived by Monte Carlo evaluation that incorporates various uncertainties. Thus, the designed system is robust against these uncertainties. The feasibility of the algorithm is demonstrated by designing a control system for a simplified model. The algorithm is compared both with the Downhill-Simplex method and the Genetic Algorithm. For the simple example, the results show that Simulated Annealing is more effective than the Downhill-Simplex method for parameter optimization, and it requires less computational time than the Genetic Algorithm. Furthermore, the algorithm is applied to the longitudinal flight control design of automatic landing system. It is demonstrated and verified that the algorithm is an efficient control design method.

Original languageAmerican English
Title of host publicationAIAA Guidance, Navigation, and Control Conference and Exhibit
PublisherAmerican Institute of Aeronautics and Astronautics Inc.
ISBN (Print)9781563479786
StatePublished - 2000
EventAIAA Guidance, Navigation, and Control Conference and Exhibit 2000 - Dever, CO, United States
Duration: Aug 14 2000Aug 17 2000

Publication series

NameAIAA Guidance, Navigation, and Control Conference and Exhibit


ConferenceAIAA Guidance, Navigation, and Control Conference and Exhibit 2000
Country/TerritoryUnited States
CityDever, CO

ASJC Scopus subject areas

  • Aerospace Engineering
  • Control and Systems Engineering
  • Electrical and Electronic Engineering


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