Title :
Disturbance rejection using self-tuning ARMARKOV adaptive control with simultaneous identification
Author :
Sane, Harshad S. ; Venugopal, Ravinder ; Bernstein, Dennis S.
Author_Institution :
Dept. of Aerosp. Eng., Michigan Univ., Ann Arbor, MI, USA
fDate :
1/1/2001 12:00:00 AM
Abstract :
In this paper we present a numerical and experimental investigation of the properties of the ARMARKOV adaptive control (AAC) algorithm with simultaneous identification. The underlying model structure of AAC is the ARMARKOV model, which is a structurally constrained ARMA model with explicit impulse response (Markov) parameters. This algorithm requires a model of only the secondary path (control input to performance variable) transfer function which is identified online using the time-domain ARMARKOV/Toeplitz identification technique. For a 5-mode acoustic duct model, we present numerical as well as experimental results for single-tone, dual-tone, and broadband disturbance rejection. In the simulations and experiments we assume no knowledge of the disturbance signal
Keywords :
Markov processes; Toeplitz matrices; acoustic variables control; adaptive control; identification; self-adjusting systems; stability; time-domain synthesis; transfer functions; transient response; 5-mode acoustic duct model; AAC; Markov parameters; broadband disturbance rejection; disturbance rejection; dual-tone disturbance rejection; explicit impulse response parameters; secondary path transfer function; self-tuning ARMARKOV adaptive control; simultaneous identification; single-tone disturbance rejection; structurally constrained ARMA model; time-domain ARMARKOV/Toeplitz identification technique; Active noise reduction; Adaptive control; Control systems; Ducts; Measurement standards; Numerical models; Programmable control; Signal processing; Time domain analysis; Transfer functions;
Journal_Title :
Control Systems Technology, IEEE Transactions on
