In this paper, a novel fuzzy-sliding and fuzzy-integral-sliding controller (FSFISC) is designed to position the yaw and pitch angles of a twin-rotor multi-input-multi-output system (TRMS). With the coupling effects, which are considered as the uncertainties, the highly coupled nonlinear TRMS is pseudode-composed into a horizontal subsystem and a vertical subsystem (VS). The proposed FSFISC consists of a fuzzy-sliding controller and an FISC for the horizontal and the VSs, respectively. The reaching conditions and the stability of the TRMS with the proposed controller are guaranteed. Simulation results are included to indicate that TRMS with the presented FSFISC can greatly alleviate the chattering effect and remain robust to the external disturbances. In addition, the performance comparisons with the proportional-integral-differential (PID) approach using a modified real-value-type genetic algorithm are provided to show that the FSFISC has better performance in the aspects of error and control indexes.
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Univ New S Wales, Sch Engn & Informat Technol, Canberra, ACT, AustraliaUniv New S Wales, Sch Engn & Informat Technol, Canberra, ACT, Australia
Pratama, Mahardhika
Anavatti, Sreenatha G.
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Univ New S Wales, Sch Engn & Informat Technol, Canberra, ACT, AustraliaUniv New S Wales, Sch Engn & Informat Technol, Canberra, ACT, Australia
Anavatti, Sreenatha G.
Garratt, Matthew
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Univ New S Wales, Sch Engn & Informat Technol, Canberra, ACT, AustraliaUniv New S Wales, Sch Engn & Informat Technol, Canberra, ACT, Australia
Garratt, Matthew
Lughofer, Edwin
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Johannes Kepler Univ Linz, Dept Knowledge Based Math Syst, A-4040 Linz, AustriaUniv New S Wales, Sch Engn & Informat Technol, Canberra, ACT, Australia
Lughofer, Edwin
PROCEEDINGS OF THE 2013 IEEE CONFERENCE ON EVOLVING AND ADAPTIVE INTELLIGENT SYSTEMS (EAIS),
2013,
: 106
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