Studies on the control quality improvement for multirotor flying robot

  title={Studies on the control quality improvement for multirotor flying robot},
  author={Wojciech Giernacki and Stanisław Gardecki and Jarosław Gośliński},
In this paper research results on control quality improvement by the use of particle swarm optimization algorithm (PSO) was described as an alternative for the classic PID tuning. For the problem of multi-rotor flying robot control, test studies were conducted using a specially for this purpose designed and performed measuring testbed. This solution allows to obtain the angle as a feedback in flying robot stabilizing loop and it was compared with the reference angle measured at the test stand… CONTINUE READING


Publications referenced by this paper.

Kasiński, An Adequate Mathematical Model of Four-rotor Flying Robot in the Context of Control Simulations, Journal of Automation, Mobile Robotics & Intelligent Systems

  • St. Gardecki, W. Giernacki, A. J. Goś liński
  • 2014
Highly Influential
3 Excerpts

Particle-swarm Optimization Algorithm for Model Predictive Control of MIMO with Constraints, 2012 10th World Congress on Intelligent Control and Automation (WCICA

  • X. Luo, Sh. Shan, Sh. Wang
  • 2012

Safabakhch, A Novel Particle Swarm Optimisation Algorithm with Adaptive Inertia Weight

  • M. Ebadzadeh, R. A. Nickabadi
  • Journal of Applied Soft Computing,
  • 2011
1 Excerpt

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