出版社：Faculty of Electrical Engineering, University Teknologi Malaysia
摘要：This paper demonstrates a 2-stage identification procedure. The aim of this procedure is to obtain a compressed, cleaned and unbiased frequency response data. This data is next to be used for the identification of a continuous time system. The first stage is to encapsulate a clean and unbiased frequency response data from a raw input and output data obtained from a closed-loop system. Frequency sampling filter approach in conjunction with maximum likelihood method and predicted residual sums of square computation is performed at this point. Second stage is the identification of a continuous time state-space model using an estimated frequency response obtained from the first stage. Subspace method with the aid of Laguerre filter and instrumental variable in frequency domain is performed at this point. The combination of these techniques allows for the estimation of high quality models, in which, it leads to successful performance of the continuous time system identification overall. The application based on a magnetic bearing system apparatus is used to demonstrate the efficacy of the proposed techniques.
Loading...
