Title :
Direct iterative tuning via spectral analysis
Author :
Kammer, Leonard0 C. ; Bitmead, Robert R. ; Bartlett, Peter L.
Author_Institution :
Dept. of Syst. Eng., Australian Nat. Univ., Canberra, ACT, Australia
Abstract :
Introduces nonparametric frequency-domain methods for tuning closed-loop systems. A linear quadratic criterion is used for guiding the scheme towards an optimal-regulation state. The computation of tuning directions is performed with unbiased estimates of first and second derivatives of frequency-domain expressions of the cost function. The actual cost function is computed with time-domain measurements taken along the tuning directions. Similarly to other iterative schemes, caution has to be observed at each adjustment step. A seemingly innocuous example is used to illustrate a situation where a sudden unstable closed-loop behaviour might happen but is arrested by the cautious modification
Keywords :
Hessian matrices; adaptive control; closed loop systems; control system synthesis; frequency-domain synthesis; linear quadratic control; spectral analysis; stability; tuning; cost function; direct iterative tuning; linear quadratic criterion; nonparametric frequency-domain methods; optimal-regulation state; spectral analysis; time-domain measurements; unbiased estimates; unstable closed-loop behaviour; Adaptive control; Adaptive systems; Control systems; Cost function; Frequency domain analysis; Frequency estimation; Robustness; Spectral analysis; Systems engineering and theory; Tuning;
Conference_Titel :
Decision and Control, 1998. Proceedings of the 37th IEEE Conference on
Conference_Location :
Tampa, FL
Print_ISBN :
0-7803-4394-8
DOI :
10.1109/CDC.1998.757912