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dc.contributor.authorBousbaine, Amaren
dc.contributor.authorBamgbose, Abrahamen
dc.contributor.authorPoyi, Gwangtim Timothyen
dc.contributor.authorJoseph, A. K.en
dc.date.accessioned2016-11-17T13:55:21Z
dc.date.available2016-11-17T13:55:21Z
dc.date.issued2016-12
dc.identifier.citationA. Bousbaine, A. Bamgbose, G.T. Poyi and A. K. Joseph "Design of Self-tuning PID Controller Parameters Using Fuzzy Logic Controller for Quad-rotor Helicopter" Published in International Journal of Trend in Research and Development (IJTRD), ISSN: 2394-9333, Volume-3 | Issue-6 , December 2016.en
dc.identifier.issn2394-9333
dc.identifier.urihttp://hdl.handle.net/10545/620893
dc.description.abstractThis paper presents the design of a Fuzzy PID controller (FPID) based on fuzzy logic with a PID structure with many valued logic and reasoning. The self-turning Fuzzy PID control take in an error and the rate of change of error of the altitude and attitude of the quadrotor as the input to the fuzzy controller and use the fuzzy rules to adjust the PID parameter automatically. Simulations have been conducted to observe the differences in controlling the quadrotor in flight using the new FPID controller instead of using PID controller. The effectiveness of the developed FPID is verified using the dSPACE platform whereby the Simulink model of the controller is converted to a real time system to generate the control signals for the control of quad rotor helicopter.
dc.language.isoenen
dc.relation.urlhttp://www.ijtrd.com/Papers.aspx?Id=20en
dc.subjectPID controlen
dc.titleDesign of Self-tuning PID Controller Parameters Using Fuzzy Logic Controller for Quad-rotor Helicopteren
dc.typeArticleen
dc.contributor.departmentUniversity of Derbyen
dc.identifier.journalInternational Journal of Trend in Research and Developmenten
refterms.dateFOA2019-02-28T15:00:11Z
html.description.abstractThis paper presents the design of a Fuzzy PID controller (FPID) based on fuzzy logic with a PID structure with many valued logic and reasoning. The self-turning Fuzzy PID control take in an error and the rate of change of error of the altitude and attitude of the quadrotor as the input to the fuzzy controller and use the fuzzy rules to adjust the PID parameter automatically. Simulations have been conducted to observe the differences in controlling the quadrotor in flight using the new FPID controller instead of using PID controller. The effectiveness of the developed FPID is verified using the dSPACE platform whereby the Simulink model of the controller is converted to a real time system to generate the control signals for the control of quad rotor helicopter.


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