Title :
A discrete-time parameter estimation based adaptive actuator failure compensation control scheme
Author :
Chang Tan ; Ruiyun Qi ; Gang Tao
Author_Institution :
Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fDate :
June 29 2011-July 1 2011
Abstract :
This paper studies discrete-time adaptive failure compensation control of systems with uncertain actuator failures, using an indirect adaptive control method. A discrete time model of a continuous-time linear system with actuator failures is derived and its key features are clarified. A new discrete-time adaptive actuator failure compensation control scheme is developed, which consists of a total parametrization of the system with parameter and failure uncertainties, a stable adaptive parameter estimation algorithm, and an on-line design procedure for feedback control. This work represents a new design of direct adaptive compensation of uncertain actuator failures, using an indirect adaptive control method. Such an adaptive design ensures desired closed-loop system stability and asymptotic tracking properties despite uncertain actuator failures. Simulation results are presented to show the desired adaptive actuator failure compensation performance.
Keywords :
actuators; adaptive control; asymptotic stability; closed loop systems; continuous time systems; control system synthesis; discrete time systems; failure analysis; feedback; uncertain systems; adaptive design; asymptotic tracking property; closed-loop system stability; continuous-time linear system; direct adaptive compensation; discrete-time adaptive actuator failure compensation control scheme; discrete-time stable adaptive parameter estimation algorithm; feedback control; indirect adaptive control method; online design procedure; uncertain actuator failure uncertainty; Actuators; Adaptation models; Adaptive control; Atmospheric modeling; Robustness; Actuator failure; discrete-time design; indirect adaptive control; parameter estimation; tracking;
Conference_Titel :
American Control Conference (ACC), 2011
Conference_Location :
San Francisco, CA
Print_ISBN :
978-1-4577-0080-4
DOI :
10.1109/ACC.2011.5991081