Estimation of nonlinear ARX model for steam distillation process by wavenet estimator

This paper presents estimation on nonlinear ARX model for steam distillation process by wavenet estimator. A set of input-output data samples was collected at a sampling rate of 0.1 second from an essential oil extraction pilot plant by using steam distillation technique. PRBS input signal delivered to the heating element of the plant while the output was the steam temperature. By applying interlacing technique the data was split into 2 equal size subsets of data. One set of data was used for model estimation and the other one was used for model validation. During the estimation, we applied Nonlinear ARX based on wavenet estimator with different unit i.e. unit 1, unit 2, unit 3 and unit 8 in order to see their performances. We also modeled linear ARX for performance comparison. The comparison was done in term of the agreement between measured data and those models based on wavenet with different unit and the result has shown that the nonlinear ARX based on wavenet estimator with 3 units has outperformed the other models. For future work, the result obtained from estimation is contributed for extended application such as Hammerstein-Wiener model.