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Parameter Identification for a Quadrotor Helicopter Using Multivariable Extremum Seeking Algorithm

  • Weizhen Liu
  • Xin Huo
  • Jinkun Liu
  • Libin Wang
Regular Papers Robot and Applications
  • 26 Downloads

Abstract

Parameter identification for a quadrotor helicopter is challenging from a theoretical point of view. In this paper, a closed-loop multivariable extremum seeking algorithm (MESA) is proposed for a nonlinear quadrotor helicopter parameter identification with two groups of input data. The proposed scheme is universally applicable to the closed-loop identification for cross-coupling multivariable processes where the identification problem is formulated as a minimization of a cost function. As the gradients of the performance parameters are obtained by step response experiments, the whole system searches along the negative gradient of the cost function until the reference trajectory or point is derived. Since the cost function is treated as a mapping from the model parameters, then the parameters can be identified online and in a real-time manner. The procedure of the identification algorithm is presented, and its effectiveness is illustrated by numerical simulations.

Keywords

Cost function multivariable extremum seeking algorithm parameter identification quadrotor helicopter 

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Copyright information

© Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  1. 1.Control and Simulation CenterHarbin Institute of TechnologyHarbinChina
  2. 2.School of Automation Science and Electrical EngineeringBeihang UniversityBeijingChina

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