Multi-objective design of robust flight control systems

Edmondo Minisci, Giulio Avanzini, S. D'Angelo

Research output: Contribution to conferencePaper

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The aim of this work is to demonstrate the capabilities of evolutionary methods in the design of robust controllers for unstable fighter aircraft in the framework of H1 control theory. A multi–objective evolutionary algorithm is used to find the controller gains that minimize a weighted combination of the infinite–norm of the sensitivity function (for disturbance attenuation requirements) and complementary sensitivity function (for robust stability requirements). After considering a single operating point for a level flight trim condition of a F-16 fighter aircraft model, two different approaches will then be considered to extend the domain of validity of the control law: 1) the controller is designed for different operating points and gain scheduling is adopted; 2) a single control law is designed for all the considered operating points by multiobjective minimisation. The two approaches will be analysed and compared in terms of efficacy and required human and computational resources.
Original languageEnglish
Publication statusPublished - 25 Jun 2008
EventMathematical Problems in Engineering, Aerospace and Sciences, ICPAA 2008 - Genoa, Italy
Duration: 25 Jun 200827 Jun 2008


ConferenceMathematical Problems in Engineering, Aerospace and Sciences, ICPAA 2008


  • multi-objective optimisation
  • robust control
  • flight control systems


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