Control inertia and fuzzy brakes

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A new control property namely "control inertia" is introduced in this article. In this research, control techniques not needing a mathematical model of the system are subject to study. Neuro-predictive (NP) method is a non-model based technique works for a wide variety of nonlinear systems, and lets us compare different systems' behaviour. In this paper, two different nonlinear systems, a model helicopter and a tank reactor, are controlled similarly by neuro-predictive method in simulation environment. Although tank reactor is controlled successfully by NP method, a repeated significant overshoot is observed when model helicopter is controlled (leading very long settling time and a considerable amount of energy consumption). This discrepancy in control behaviour is explained by a property of systems, called "control inertia". In this paper, control inertia is defined as the ratio of control input to the second temporal derivative of system's output. It is indicated that the undesirable control behaviour of model helicopter (repeated overshoot and its consequences) is influenced by its high control inertia. In order to improve the control behaviour, a fuzzy inference system is designed and added to the control circuit to decelerate system when it is approaching setpoint. This fuzzy inference system is called "fuzzy brake", which improves the performance significantly in case of high inertia. Having a general understanding of system's dynamics (not necessarily a mathematical model), it is possible to judge whether the system is high inertia or low inertia, and whether a fuzzy brake is needed or not. In general, the concept of control inertia can be used in intelligent control system design together with input-output data and fuzzy rules derived by experience/ observation.

Original languageEnglish
Title of host publicationProceeding of the 5th International Symposium on Mechatronics and its Applications, ISMA 2008
DOIs
Publication statusPublished - 2008
Event5th International Symposium on Mechatronics and its Applications, ISMA 2008 - Amman, Jordan
Duration: May 27 2008May 29 2008

Other

Other5th International Symposium on Mechatronics and its Applications, ISMA 2008
CountryJordan
CityAmman
Period5/27/085/29/08

Fingerprint

Brakes
Helicopters
Fuzzy inference
Nonlinear systems
Mathematical models
Control systems
Intelligent control
Fuzzy rules
Dynamical systems
Energy utilization
Systems analysis
Derivatives
Networks (circuits)

ASJC Scopus subject areas

  • Artificial Intelligence
  • Electrical and Electronic Engineering
  • Mechanical Engineering

Cite this

Mohammadzaheri, M., & Chen, L. (2008). Control inertia and fuzzy brakes. In Proceeding of the 5th International Symposium on Mechatronics and its Applications, ISMA 2008 [4648800] https://doi.org/10.1109/ISMA.2008.4648800

Control inertia and fuzzy brakes. / Mohammadzaheri, Morteza; Chen, Lei.

Proceeding of the 5th International Symposium on Mechatronics and its Applications, ISMA 2008. 2008. 4648800.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Mohammadzaheri, M & Chen, L 2008, Control inertia and fuzzy brakes. in Proceeding of the 5th International Symposium on Mechatronics and its Applications, ISMA 2008., 4648800, 5th International Symposium on Mechatronics and its Applications, ISMA 2008, Amman, Jordan, 5/27/08. https://doi.org/10.1109/ISMA.2008.4648800
Mohammadzaheri M, Chen L. Control inertia and fuzzy brakes. In Proceeding of the 5th International Symposium on Mechatronics and its Applications, ISMA 2008. 2008. 4648800 https://doi.org/10.1109/ISMA.2008.4648800
Mohammadzaheri, Morteza ; Chen, Lei. / Control inertia and fuzzy brakes. Proceeding of the 5th International Symposium on Mechatronics and its Applications, ISMA 2008. 2008.
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