Call For Paper Volume:4 Issue:8 Aug'2017 |

Nonlinear Identification of A Wireless Control System: Comparison of NARX Model Results

Publication Date : 03/09/2015



Author(s) :

Adnan ALDEMİR , Mustafa ALPBAZ.


Volume/Issue :
Volume 2
,
Issue 8
(09 - 2015)



Abstract :

This work has been carried out to comparison of two types of nonlinear models (wavelet network NARX and sigmoid network NARX) were applied for a process simulator that was used for the wireless control. Wireless input/output data obtained from the Cussons P3005 type process control simulator which three different temperatures (T2, T3 and T4) were selected as the controlled variables and the heater capacity was chosen as the manipulated variable. Wireless temperature experiments were achieved by using MATLAB/Simulink program and wireless data transfer during the experiments were carried out with radio waves at a frequency of 2.4 GHz. The two nonlinear models were developed with the aid of System Identification Toolbox of MATLAB using the data acquired from a unit step change on the heater capacity of the process simulator. The model orders used for the estimation of the model coefficients were determined with the aid MATLAB. According to the higher fit value and lower loss function observed in the case of the NARX model developed using wavelet network model has been found to be better than sigmoid network model. In addition, based on the simulation results, these two NARX models getting to the steady-state without any oscillations but wavelet network NARX models were discovered to be better than sigmoid network NARX models due to fastest rise time and fastest response time for this wireless control system. Keywords—System identification, MATLAB/Simulink, wavelet network NARX model, sigmoid network NARX model, wireless process control 


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Nonlinear Identification of A Wireless Control System: Comparison of NARX Model Results

August 31, 2015