Adaptive Fuzzy Dynamic Sliding Mode Control of Nonlinear Systems

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.

Karami Mollaee a.

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

Journal Paper

Paper Information

Journal: International Journal of Engineering Year:2016 | Volume:29 | Issue:8 (TRANSACTIONS B: Applications) Page(s): 1075-1086

Download Full-Text

View:

185

Download:

Cites:

Information Journal Paper

Title

Adaptive Fuzzy Dynamic Sliding Mode Control of Nonlinear Systems

Author(s)

Karami Mollaee a. | Issue Writer Certificate

Keywords

Fuzzy Control

Dynamic Sliding Mode Control

Chattering

Adaptive Control

Chaotic System

Abstract

Two phenomena can produce Chattering: switching of input control signal and the large amplitude of this switching (switching gain). To remove the switching of input control signal, Dynamic Sliding Mode Control (DSMC) is used. In DSMC switching is removed due to the integrator which is placed before the plant. However, in DSMC the augmented system (system plus the integrator) is one dimension bigger than the actual system and then, the plant model should be completely known. To overcome this difficulty, a fuzzy system is employed to identify the unknown nonlinear function of the plant model and then, a robust adaptive law is developed to train the parameters of this fuzzy system. The other problem is that the switching gain may be chosen unnecessary large to cope on the unknown uncertainty. To solve this problem, another fuzzy system is proposed which does not need the upper bound of the uncertainty. Moreover, to have a suitable small enough switching gain an adaptive procedure is applied to increase and decrease the switching gain according to the system circumstances. Then, Chattering is removed using the DSMC with a small adaptive switching gain (ASG). As a case study, nonlinear chaotic Duffing-Holmes system is selected.

Multimedia

No record.

Cites

No record.

References

No record.

Cite

APA: Copy

Karami Mollaee, a.. (2016). Adaptive Fuzzy Dynamic Sliding Mode Control of Nonlinear Systems. INTERNATIONAL JOURNAL OF ENGINEERING, 29(8 (TRANSACTIONS B: Applications)), 1075-1086. SID. https://sid.ir/paper/724182/en

Vancouver: Copy

Karami Mollaee a.. Adaptive Fuzzy Dynamic Sliding Mode Control of Nonlinear Systems. INTERNATIONAL JOURNAL OF ENGINEERING[Internet]. 2016;29(8 (TRANSACTIONS B: Applications)):1075-1086. Available from: https://sid.ir/paper/724182/en

IEEE: Copy

a. Karami Mollaee, “Adaptive Fuzzy Dynamic Sliding Mode Control of Nonlinear Systems,” INTERNATIONAL JOURNAL OF ENGINEERING, vol. 29, no. 8 (TRANSACTIONS B: Applications), pp. 1075–1086, 2016, [Online]. Available: https://sid.ir/paper/724182/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops