Perturbation signals for system identification
Perturbation signals for system identification
Automatic initialization of a robust self-tuning controller
Automatica (Journal of IFAC)
Automatic tuning of PID controllers based on transfer function estimation
Automatica (Journal of IFAC)
Use of PRESS residuals in dynamic system identification
Automatica (Journal of IFAC)
Frequency-sampling filters: an improved model structure for step-response identification
Automatica (Journal of IFAC)
Relay-based estimation of multiple points on process frequency response
Automatica (Journal of IFAC)
Paper: Automatic tuning of simple regulators with specifications on phase and amplitude margins
Automatica (Journal of IFAC)
WSEAS TRANSACTIONS on SYSTEMS
WSEAS TRANSACTIONS on SYSTEMS
Hi-index | 22.14 |
This paper describes two new methods for obtaining frequency response and step response models for processes operating under relay feedback control. Both methods are based on the frequency sampling filter (FSF) model structure and a recursive least-squares (RLS) estimator. With the first method, a standard relay feedback experiment is performed and the FSF/RLS algorithm is used along with the generated input-output data to provide real-time estimates of the process frequency response at the dominant harmonics of the limit cycle. In the second method, a novel relay experiment is proposed that involves switching the error signal back-and-forth between a standard relay element and an integrator in series with a relay. The FSF/RLS algorithm is then applied to the generated process input-output data to obtain a real time estimate of the process step response.