Design and implementation of MRAC and modified MRAC technique for inverted pendulum

@article{Pawar2015DesignAI,
  title={Design and implementation of MRAC and modified MRAC technique for inverted pendulum},
  author={Ritesh Pawar and Bhagsen J. Parvat},
  journal={2015 International Conference on Pervasive Computing (ICPC)},
  year={2015},
  pages={1-6}
}
This paper is concerned with the combination of model reference adaptive control (MRAC) and PID. Incorporating application for inverted pendulum system, subjected to it finds the analogy with various control system applications like robotic arm, satellite launching system etc. The main aim is to find further improvement of traditional MRAC method and to provide more accurate control to the inverted pendulum and to minimize drawbacks of the traditional MRAC method. This is examined when… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 12 references

Real-coded genetic algorithm for system identification and tuning of a modified Model Reference Adaptive Controller for a hybrid tank

  • K. Asan Mohideen, G. Saravanakumar, K. Valarmathi, D. Devraj, T. K. Radhakrishnan
  • 2013
Highly Influential
4 Excerpts

Dulau Model Reference Adaptive Control Vs. Learning Control for the inverted pendulum - A comparative case study, Control

  • Adrain Vasile Duka, Stelian Emilian Olten, Mircea
  • Engineering and Applied Informatics,Vol.9,
  • 2007
Highly Influential
10 Excerpts

Becherif Implementation of MRAC controller of a DFIG based variable speed grid connected wind turbine, Energy Conversion

  • Sabrina Abdeddaim, Achour Betka, Said Drid, Mahamed
  • 2014
1 Excerpt

Direct Model Reference Adaptive Controller for better voltage sag ride through in doubly fed induction generator wind farms, Electrical Power and Energy Systems,ELSEVIER

  • N. Amuthan, P. Subburaj, P. Melba Mery
  • 2013
1 Excerpt

Radhakrishnan Realcoded genetic algorithm for system identification and tuning of a modified Model Reference Adaptive Controller for a hybrid tank system

  • K. Valarmathi, D. Devraj, K. T.
  • Applied Mathematical Modeling
  • 2013

Autotuning and adaptive control of sheet metal forming, Control Engineering Practice

  • Yongseob Lim, Ravinder Venugopal, A. Galip Ulsoy
  • 2012
1 Excerpt

Learning Control for the inverted pendulumA comparative case study

  • Adrain Vasile Duka, Stelian Emilian Olten
  • 2007

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