Sliding mode control improvement by using model predictive, fuzzy logic, and integral augmented techniques for a quadrotor helicopter model
In this paper, a new control method is adopted based on merging multi-input Integral Sliding Mode Control with Boundary Layer (ISMC-BL), Model Predictive Control (MPC), and Fuzzy Logic Control (FLC). The aim of this merging is to take advantage of MPC ability to deals with constraints and to gain op...
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Islamic Azad University
2019
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Online Access: | http://psasir.upm.edu.my/id/eprint/82178/1/Sliding%20mode%20control%20improvement%20by%20using%20model%20predictive%2C%20fuzzy%20logic%2C%20and%20integral%20augmented%20techniques%20for%20a%20quadrotor%20helicopter%20model.pdf http://psasir.upm.edu.my/id/eprint/82178/ https://www.sid.ir/en/journal/ViewPaper.aspx?ID=715898 |
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my.upm.eprints.821782020-12-13T18:29:23Z http://psasir.upm.edu.my/id/eprint/82178/ Sliding mode control improvement by using model predictive, fuzzy logic, and integral augmented techniques for a quadrotor helicopter model Amir Hossein, Zaeri Esmaeilian-Marnani, Aida Mohd Noor, Samsul Bahari In this paper, a new control method is adopted based on merging multi-input Integral Sliding Mode Control with Boundary Layer (ISMC-BL), Model Predictive Control (MPC), and Fuzzy Logic Control (FLC). The aim of this merging is to take advantage of MPC ability to deals with constraints and to gain optimal solution. Moreover, FLC is considered in designing the sliding surface based on fuzzy rules and tracking error. This method is simulated on a nonlinear quadrotor helicopter model. The results have revealed that the proposed control approach, which is a multiinput Model Predictive Fuzzy Integral Sliding Mode Control with Boundary Layer (MPFISMC-BL), is a robust, stable, optimal, and intelligent control scheme. This finding could contribute to improve the control of similar systems. Islamic Azad University 2019-12 Article PeerReviewed text en http://psasir.upm.edu.my/id/eprint/82178/1/Sliding%20mode%20control%20improvement%20by%20using%20model%20predictive%2C%20fuzzy%20logic%2C%20and%20integral%20augmented%20techniques%20for%20a%20quadrotor%20helicopter%20model.pdf Amir Hossein, Zaeri and Esmaeilian-Marnani, Aida and Mohd Noor, Samsul Bahari (2019) Sliding mode control improvement by using model predictive, fuzzy logic, and integral augmented techniques for a quadrotor helicopter model. Majlesi Journal of Electrical Engineering, 13 (4). pp. 25-37. ISSN 2345-377X; ESSN: 2345-3796 https://www.sid.ir/en/journal/ViewPaper.aspx?ID=715898 |
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In this paper, a new control method is adopted based on merging multi-input Integral Sliding Mode Control with Boundary Layer (ISMC-BL), Model Predictive Control (MPC), and Fuzzy Logic Control (FLC). The aim of this merging is to take advantage of MPC ability to deals with constraints and to gain optimal solution. Moreover, FLC is considered in designing the sliding surface based on fuzzy rules and tracking error. This method is simulated on a nonlinear quadrotor helicopter model. The results have revealed that the proposed control approach, which is a multiinput Model Predictive Fuzzy Integral Sliding Mode Control with Boundary Layer (MPFISMC-BL), is a robust, stable, optimal, and intelligent control scheme. This finding could contribute to improve the control of similar systems. |
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Amir Hossein, Zaeri Esmaeilian-Marnani, Aida Mohd Noor, Samsul Bahari |
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Amir Hossein, Zaeri Esmaeilian-Marnani, Aida Mohd Noor, Samsul Bahari Sliding mode control improvement by using model predictive, fuzzy logic, and integral augmented techniques for a quadrotor helicopter model |
author_facet |
Amir Hossein, Zaeri Esmaeilian-Marnani, Aida Mohd Noor, Samsul Bahari |
author_sort |
Amir Hossein, Zaeri |
title |
Sliding mode control improvement by using model predictive, fuzzy logic, and integral augmented techniques for a quadrotor helicopter model |
title_short |
Sliding mode control improvement by using model predictive, fuzzy logic, and integral augmented techniques for a quadrotor helicopter model |
title_full |
Sliding mode control improvement by using model predictive, fuzzy logic, and integral augmented techniques for a quadrotor helicopter model |
title_fullStr |
Sliding mode control improvement by using model predictive, fuzzy logic, and integral augmented techniques for a quadrotor helicopter model |
title_full_unstemmed |
Sliding mode control improvement by using model predictive, fuzzy logic, and integral augmented techniques for a quadrotor helicopter model |
title_sort |
sliding mode control improvement by using model predictive, fuzzy logic, and integral augmented techniques for a quadrotor helicopter model |
publisher |
Islamic Azad University |
publishDate |
2019 |
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http://psasir.upm.edu.my/id/eprint/82178/1/Sliding%20mode%20control%20improvement%20by%20using%20model%20predictive%2C%20fuzzy%20logic%2C%20and%20integral%20augmented%20techniques%20for%20a%20quadrotor%20helicopter%20model.pdf http://psasir.upm.edu.my/id/eprint/82178/ https://www.sid.ir/en/journal/ViewPaper.aspx?ID=715898 |
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13.160551 |