A peak-seeking method is applied to a DC motor driving a variable pitch propeller to minimize the motor power consumption for a given thrust command. The peak-seeking method allows the system to converge to a minimum power consumption despite modeling inaccuracies and environmental disturbances. A linear time-varying Extended Kalman Filter (EKF) is used to estimate the gradient and Hessian of the power consumption. The gradient and Hessian are then used to drive the system to its minimum. Simulation results show the successful development of the peak-seeking control architecture and its fast convergence to a minimum power consumption condition. © 2011 by the American Institute of Aeronautics and Astronautics, Inc. All rights reserved.
|Original language||English (US)|
|Title of host publication||AIAA Guidance, Navigation, and Control Conference 2011|
|Publisher||American Institute of Aeronautics and Astronautics Inc.email@example.com|
|State||Published - Jan 1 2011|