TLBO-BASED OPTIMAL SPEED CONTROLLER DESIGN FOR INDUCTION MOTORS USING FUZZY SLIDING MODE CONTROLLER

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

ALFI ALIREZA

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT) Year:2016 | Volume:5 | Issue:1 Page(s): 1-11

Download Full-Text

View:

198

Download:

179

Cites:

Information Journal Paper

Title

TLBO-BASED OPTIMAL SPEED CONTROLLER DESIGN FOR INDUCTION MOTORS USING FUZZY SLIDING MODE CONTROLLER

Author(s)

ALFI ALIREZA | Issue Writer Certificate

Keywords

INDUCTION MOTOR

SLIDING MODE CONTROL

TEACHING-LEARNING-BASED OPTIMIZATION

FUZZY CONTROL

Abstract

In this paper, TEACHING-LEARNING-BASED OPTIMIZATION (TLBO) algorithm is employed for controlling the speed of INDUCTION MOTORs using fuzzy SLIDING MODE CONTROLler. The proposed control scheme formulates the design of the controller as an optimization problem. First, a sliding mode speed controller with an integral switching surface is designed, in which the acceleration information for speed control is not required. In this case, the upper bound of the lumped uncertainties including the parameter uncertainties and the load disturbance must be available. The importance of this parameter on the system performance is illustrated. Then, the fuzzy sliding mode speed controller is designed to estimate the upper bound of the lumped uncertainties. Finally, TLBO algorithm is adopted to determine the optimal upper bound of the uncertainty. Simulation results are given to demonstrate the superiority of the proposed controller in comparison with the proportional-integrator, traditional SLIDING MODE CONTROLler, fuzzy SLIDING MODE CONTROLler and adaptive fuzzy SLIDING MODE CONTROLler.

Cites

No record.

References

No record.

Cite

APA: Copy

ALFI, ALIREZA. (2016). TLBO-BASED OPTIMAL SPEED CONTROLLER DESIGN FOR INDUCTION MOTORS USING FUZZY SLIDING MODE CONTROLLER. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), 5(1), 1-11. SID. https://sid.ir/paper/712196/en

Vancouver: Copy

ALFI ALIREZA. TLBO-BASED OPTIMAL SPEED CONTROLLER DESIGN FOR INDUCTION MOTORS USING FUZZY SLIDING MODE CONTROLLER. JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT)[Internet]. 2016;5(1):1-11. Available from: https://sid.ir/paper/712196/en

IEEE: Copy

ALIREZA ALFI, “TLBO-BASED OPTIMAL SPEED CONTROLLER DESIGN FOR INDUCTION MOTORS USING FUZZY SLIDING MODE CONTROLLER,” JOURNAL OF SOFT COMPUTING AND INFORMATION TECHNOLOGY (JSCIT), vol. 5, no. 1, pp. 1–11, 2016, [Online]. Available: https://sid.ir/paper/712196/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops