Tuning of a new fuzzy bang-bang relay controller for attitude control system
A new fuzzy bang-bang relay controller (FBBRC) is introduced in this paper. The new controller is inherently optimal due to its bang-bang property. The controller has fuzzy decision-making capability in its inputs and have two fixed levels bang-bang output. Consequently, the tuning of FBBRC is restr...
Saved in:
| Main Authors: | , , , , |
|---|---|
| Other Authors: | |
| Format: | Article |
| Published: |
Inderscience Publishers
2023
|
| Subjects: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1833349039360311296 |
|---|---|
| author | Nagi F. Bin Zainul Abidin A.A. Zulkarnain A.T. Nagi J. Marwan A. |
| author2 | 56272534200 |
| author_facet | 56272534200 Nagi F. Bin Zainul Abidin A.A. Zulkarnain A.T. Nagi J. Marwan A. |
| author_sort | Nagi F. |
| building | UNITEN Library |
| collection | Institutional Repository |
| content_provider | Universiti Tenaga Nasional |
| content_source | UNITEN Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | A new fuzzy bang-bang relay controller (FBBRC) is introduced in this paper. The new controller is inherently optimal due to its bang-bang property. The controller has fuzzy decision-making capability in its inputs and have two fixed levels bang-bang output. Consequently, the tuning of FBBRC is restricted to input parameters only in comparison to standard fuzzy logic controller (FLC) where the output parameters can also be tuned. The stability of new controller stems from well-established bang-bang sliding mode control theory. The work presented here demonstrates that tuning the inputs of the proposed FBBRC is more effective and simpler than tuning all the parameters of standard FLC. The two controllers are tuned online with gradient descent optimisation method and tested for regulator and tracking mode control. Simulation result shows that new controller has faster response time and is capable of controlling the system under adverse initial conditions. Copyright � 2011 Inderscience Enterprises Ltd. |
| format | Article |
| id | my.uniten.dspace-30561 |
| institution | Universiti Tenaga Nasional |
| publishDate | 2023 |
| publisher | Inderscience Publishers |
| record_format | dspace |
| spelling | my.uniten.dspace-305612023-12-29T15:49:29Z Tuning of a new fuzzy bang-bang relay controller for attitude control system Nagi F. Bin Zainul Abidin A.A. Zulkarnain A.T. Nagi J. Marwan A. 56272534200 25824750400 38362671100 25825455100 38361890100 Bang-bang control Fuzzy controller Gradient-based optimisation Largest of maxima LOM Self-tuning Attitude control Bang bang control systems Decision making Fuzzy logic Gradient methods Optimization Sliding mode control Bang-Bang control Fuzzy controllers Largest of maxima Optimisations Selftuning Controllers A new fuzzy bang-bang relay controller (FBBRC) is introduced in this paper. The new controller is inherently optimal due to its bang-bang property. The controller has fuzzy decision-making capability in its inputs and have two fixed levels bang-bang output. Consequently, the tuning of FBBRC is restricted to input parameters only in comparison to standard fuzzy logic controller (FLC) where the output parameters can also be tuned. The stability of new controller stems from well-established bang-bang sliding mode control theory. The work presented here demonstrates that tuning the inputs of the proposed FBBRC is more effective and simpler than tuning all the parameters of standard FLC. The two controllers are tuned online with gradient descent optimisation method and tested for regulator and tracking mode control. Simulation result shows that new controller has faster response time and is capable of controlling the system under adverse initial conditions. Copyright � 2011 Inderscience Enterprises Ltd. Final 2023-12-29T07:49:29Z 2023-12-29T07:49:29Z 2011 Article 10.1504/IJAAC.2011.040136 2-s2.0-79957523585 https://www.scopus.com/inward/record.uri?eid=2-s2.0-79957523585&doi=10.1504%2fIJAAC.2011.040136&partnerID=40&md5=9ce9f34b9d3bdd6970c4cbbd61387312 https://irepository.uniten.edu.my/handle/123456789/30561 5 2 97 118 Inderscience Publishers Scopus |
| spellingShingle | Bang-bang control Fuzzy controller Gradient-based optimisation Largest of maxima LOM Self-tuning Attitude control Bang bang control systems Decision making Fuzzy logic Gradient methods Optimization Sliding mode control Bang-Bang control Fuzzy controllers Largest of maxima Optimisations Selftuning Controllers Nagi F. Bin Zainul Abidin A.A. Zulkarnain A.T. Nagi J. Marwan A. Tuning of a new fuzzy bang-bang relay controller for attitude control system |
| title | Tuning of a new fuzzy bang-bang relay controller for attitude control system |
| title_full | Tuning of a new fuzzy bang-bang relay controller for attitude control system |
| title_fullStr | Tuning of a new fuzzy bang-bang relay controller for attitude control system |
| title_full_unstemmed | Tuning of a new fuzzy bang-bang relay controller for attitude control system |
| title_short | Tuning of a new fuzzy bang-bang relay controller for attitude control system |
| title_sort | tuning of a new fuzzy bang-bang relay controller for attitude control system |
| topic | Bang-bang control Fuzzy controller Gradient-based optimisation Largest of maxima LOM Self-tuning Attitude control Bang bang control systems Decision making Fuzzy logic Gradient methods Optimization Sliding mode control Bang-Bang control Fuzzy controllers Largest of maxima Optimisations Selftuning Controllers |
| url_provider | http://dspace.uniten.edu.my/ |