DocumentCode :
1806960
Title :
A discrete-time multiple-model MRAC scheme for adaptive actuator failure compensation
Author :
Tan, Chang ; Tao, Gang ; Qi, Ruiyun
Author_Institution :
Coll. of Autom. Eng., Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
fYear :
2011
fDate :
15-18 May 2011
Firstpage :
1276
Lastpage :
1281
Abstract :
A new discrete-time actuator failure compensation control scheme is developed, using a multiple-model adaptive control approach which has the capacity to achieve faster and more accurate compensation of failure uncertainties. An individual adaptive system, for each possible failure pattern in a failure pattern set of interest for compensation, is designed using an indirect model reference adaptive control (MRAC) scheme for actuator failure compensation. A multiple-model control switching mechanism for discrete-time systems is set up by finding the minimal performance index to select the most appropriate control law. The performance index is based on the adaptive estimation errors of individual parametrized systems with actuator failures. Simulation results from an aircraft flight control system example are presented to show the desired closed-loop system stability and tracking performance despite the presence of uncertain actuator failures.
Keywords :
actuators; adaptive estimation; adaptive systems; closed loop systems; discrete time systems; model reference adaptive control systems; stability; adaptive actuator failure compensation; adaptive estimation error; aircraft flight control system; closed loop system stability; discrete time multiple model MRAC scheme; model reference adaptive control; multiple model control switching mechanism; Actuators; Adaptation model; Adaptive control; Atmospheric modeling; Switches; actuator failure; adaptive compensation; discrete-time systems; multiple-model design; stability and tracking;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control Conference (ASCC), 2011 8th Asian
Conference_Location :
Kaohsiung
Print_ISBN :
978-1-61284-487-9
Electronic_ISBN :
978-89-956056-4-6
Type :
conf
Filename :
5899256
Link To Document :
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