Open AccessProceedings Article10.1109/MED.2008.4601995

Intelligent PID controllers

- 25 Jun 2008

- pp 326-331

195

TL;DR: The main tool is an online numerical differentiator, which is based on easily implementable fast estimation and identification techniques, which demonstrates the efficiency of the method when compared to more classic PID regulators.

Abstract: Intelligent PID controllers, or i-PID controllers, are PID controllers where the unknown parts of the plant, which might be highly nonlinear and/or time-varying, are taken into account without any modeling procedure. Our main tool is an online numerical differentiator, which is based on easily implementable fast estimation and identification techniques. Several numerical experiments demonstrate the efficiency of our method when compared to more classic PID regulators.

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In this paper, an online numerical differentiator based on easily implementable fast estimation and identification techniques is proposed for intelligent PID controllers.

Fig. 4. PID control for the unstable nonlinear system with step as reference trajectory

Fig. 5. Unstable nonlinear system with a smooth reference traj ctory

Fig. 8. Unstable nonlinear system: saturated control with anti-windup

Fig. 6. Unstable nonlinear system with another smooth reference trajectory

Fig. 7. Unstable nonlinear system: saturated control without anti-windup

Citations

•Journal Article•10.1080/00207179.2013.810345

Model-free control

Michel Fliess, +1 more

- 19 Nov 2013

- International Journal of Control

TL;DR: Model-free control and the corresponding ‘intelligent’ PID controllers (iPIDs), which already had many successful concrete applications, are presented here for the first time in an unified manner, where the new advances are taken into account.

...read moreread less

830

•Journal Article•10.1080/00207179.2013.810345

Model-free control

Michel Fliess, +1 more

- 30 May 2013

- arXiv: Optimization and Control

TL;DR: In this article, a unified view of model-free control and intelligent PID controllers is presented, where the new advances are taken into account, and several numerical simulations are presented which demonstrate not only the power of intelligent controllers but also the great simplicity for tuning them.

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568

Proceedings Article•10.1109/CDC.2010.5717709

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On the Robust Control of Buck-Converter DC-Motor Combinations

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References

•Book

Genetic algorithms in search, optimization, and machine learning

David E. Goldberg

- 01 Sep 1988

TL;DR: In this article, the authors present the computer techniques, mathematical tools, and research results that will enable both students and practitioners to apply genetic algorithms to problems in many fields, including computer programming and mathematics.

...read moreread less

52.8K

Journal Article•10.1115/1.2899060

Optimum Settings for Automatic Controllers

J. G. Ziegler, +1 more

- 01 Jun 1993

- Journal of Dynamic Systems Measurement a...

TL;DR: In this paper, the three principal control effects found in present controllers are examined and practical names and units of measurement are proposed for each effect and corresponding units for a classification of industrial processes in terms of two principal characteristics affecting their controllability.

...read moreread less

5.8K

•Book

PID Controllers: Theory, Design, and Tuning

Karl Johan Åström, +1 more

- 01 Jan 1995

5.4K

Optimum Settings for Automatic Controllers

J. G. Ziegler

- 01 Jan 1942

TL;DR: In this paper, the three principal control effects found in present controllers are examined and practical names and units of measurement are proposed for each effect.

...read moreread less

4.8K

•Journal Article•10.1080/00207179508921959

Flatness and defect of non-linear systems: introductory theory and examples

Michel Fliess, +3 more

- 01 Jun 1995

- International Journal of Control

TL;DR: In this paper, the authors introduce flat systems, which are equivalent to linear ones via a special type of feedback called endogenous feedback, which subsumes the physical properties of a linearizing output and provides another nonlinear extension of Kalman's controllability.

...read moreread less

3.2K

...

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Intelligent PID controllers

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Most frequently asked questions

1. What contributions have the authors mentioned in the paper "Intelligent pid controllers" ?

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Citations

Model-free control

Model-free control

Trajectory tracking for non-holonomic cars: A linear approach to controlled leader-follower formation

On the Control of the Permanent Magnet Synchronous Motor: An Active Disturbance Rejection Control Approach

On the Robust Control of Buck-Converter DC-Motor Combinations

References

Genetic algorithms in search, optimization, and machine learning

Optimum Settings for Automatic Controllers

PID Controllers: Theory, Design, and Tuning

Optimum Settings for Automatic Controllers

Flatness and defect of non-linear systems: introductory theory and examples

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