An adaptive control scheme using multiple reference models |
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| Authors: | Chang Tan Gang Tao Ruiyun Qi |
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| Affiliation: | 1. College of Automation Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu 210016, China;2. Department of Electrical and Computer Engineering, University of Virginia, Charlottesville, VA 22903, USA |
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| Abstract: | This paper develops an extended model reference adaptive control scheme to expand the capacity of state feedback state tracking adaptive control to handle the plant‐model matching uncertainties for single‐input LTI systems. The extended scheme is developed, using multiple reference model systems (only one of which is required to be able to match the controlled plant), and multiple controllers (which are updated from adaptive laws generated from multiple reference model systems based estimation errors), as two key features of such design to relax a plant‐model matching condition. A switching mechanism is constructed using those multiple estimation errors, capable of selecting the suitable control input from the multiple control signals, to achieve the desired system performance. An aircraft flight control example is presented to show the capacity of such design in relaxing a practical design condition. Copyright © 2013 John Wiley & Sons, Ltd. |
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| Keywords: | adaptive control multiple reference models plant‐model matching uncertainties stability and tracking switching mechanism |
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