Identification Of Continuous-Time Model Of Hammerstein System Using Archimedes Optimization Algorithm

Cho, Bo Wen (2022) Identification Of Continuous-Time Model Of Hammerstein System Using Archimedes Optimization Algorithm. College of Engineering, Universiti Malaysia Pahang Al-Sultan Abdullah.

EA18092_BoWen_Thesis - Cho Bo Wen.pdf - Accepted Version

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This thesis proposed a novel identification method known as the improved archimedes optimization algorithm (IAOA) for identifying the continuous-time Hammerstein model. Two modifications were employed to solve several demerits of the original archimedes optimization algorithm (AOA). The first modification was an alteration of the density decreasing factor to solve the imbalance of the exploration and exploitation phases. The second one was the introduction of safe updating mechanism to solve the local optima issue. Next, the proposed method was utilized in identifying the variables of the linear and nonlinear subsystems in a continuous-time Hammerstein model using the given input and output data. To verify the efficiency of the proposed method, a numerical example and two real-world experiments, namely the twin-rotor system and the electromechanical positioning system were carried out. The results were analysed in terms of the convergence curve of the fitness function, the variable deviation index, time-domain and frequency-domain responses of the identified model, and the Wilcoxon’s rank-sum test. The obtained results showed that the proposed method, yields solutions with better accuracy and consistency when compared with other well-known metaheuristics methods such as the Particle Swarm Optimizer, Grey Wolf Optimizer, Multi-Verse Optimizer, Archimedes Optimization Algorithm and a hybrid method named the Average Multi-Verse Optimizer and Sine Cosine Algorithm.

Item Type: Undergraduates Project Papers
Additional Information: SV: Assoc. Prof. Dr Mohd. Ashraf Bin Ahmad
Uncontrolled Keywords: improved archimedes optimization algorithm (IAOA)
Subjects: T Technology > TA Engineering (General). Civil engineering (General)
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Faculty/Division: College of Engineering
Depositing User: Mr. Nik Ahmad Nasyrun Nik Abd Malik
Date Deposited: 08 Jan 2024 08:28
Last Modified: 08 Jan 2024 08:28
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