||In this study, take the longitudinal motion flight attitude control for example, using model reference adaptive control that method of adaptive control of model reference adaptive control, and constructed of Simulink model, to design and analysis of adaptive controllers, and to explore the influence of nonlinear model structure and controller, adaptive law reference model and error gain.|
After using the improved MRAC method, a controller adaptive law, based on the error model and the reference model among the entire nonlinear control systems calculate the controller output, thereby enabling the system output close to the reference model. According to the simulation results, obtained by the controller improved MRAC, the final output of the system, the nonlinear model itself is not affected by changes in internal parameters, and influenced by the reference model and gain error. The results show that, in the case of system output and the reference output available, you can design a control law and control of the system without the system of nonlinear complex mathematical model, or an exact parameters of the physical.
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