Ahmad, Mohd Ashraf (2021) Identification of the thermoelectric cooler using hybrid multi-verse optimizer and sine cosine algorithm based continuous-time Hammerstein model. Cybernetics and Information Technologies, 21 (3). pp. 160-174. ISSN 1314-4081. (Published)
|
Pdf
10341-Volume21_Issue_3-10_paper.pdf Download (1MB) | Preview |
Abstract
This paper presents the identification of the ThermoElectric Cooler (TEC) plant using a hybrid method of Multi-Verse Optimizer with Sine Cosine Algorithm (hMVOSCA) based on continuous-time Hammerstein model. These modifications are mainly for escaping from local minima and for making the balance between exploration and exploitation. In the Hammerstein model identification a continuoustime linear system is used and the hMVOSCA based method is used to tune the coefficients of both the Hammerstein model subsystems (linear and nonlinear) such that the error between the estimated output and the actual output is reduced. The efficiency of the proposed method is evaluated based on the convergence curve, parameter estimation error, bode plot, function plot, and Wilcoxon’s rank test. The experimental findings show that the hMVOSCA can produce a Hammerstein system that generates an estimated output like the actual TEC output. Moreover, the identified outputs also show that the hMVOSCA outperforms other popular metaheuristic algorithms.
| Item Type: | Article |
|---|---|
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Faculty/Division: | Faculty of Electrical & Electronic Engineering |
| Depositing User: | Dr Mohd Ashraf Ahmad |
| Date Deposited: | 18 Nov 2021 07:11 |
| Last Modified: | 18 Nov 2021 07:11 |
| URI: | http://umpir.ump.edu.my/id/eprint/32600 |
| Download Statistic: | View Download Statistics |
Actions (login required)
 |
View Item |