Intelligence Swarm Model Optimization of Flexible Plate Structure System
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This paper presents the performance of modeling the flexible plate structure with free-free-clamped-clamped (FFCC) edges boundary condition using conventional Recursive Least Squares (RLS) and evolutionary algorithm of Genetic Algorithm (GA) and Particle Swarm Optimization (PSO). The auto-regressive with exogenous (ARX) structure was used in this study to obtain the dynamic model of a flexible plate structure. Data acquisition and instrumentation system were designed and integrated with the experimental rig and several experimental procedures were conducted to acquire the input and output of the flexible plate. The input and output data collected from the experimental study were utilized to develop the model of the system. The 4000 data sets collected in the experiment were divided into two parts for training and testing. The first 3000 data sets were used to train the model developed while the last 1000 data sets were used to test the performance of thus developed model. All developed model using RLS, GA and PSO were validated using one step-ahead prediction (OSA), mean squared error (MSE) and correlation tests. Amongst all, it was found that PSO algorithm has performed better in term of lowest mean squared error achieved (0.00032719) as compared to conventional algorithm (RLS) and evolutionary algorithm (GA). However, by comparing in term of estimating the first mode of vibration which the dominant mode of structure, GA has performed better by presented the lowest percentage error (3.63 %). Besides that, it was found that, all estimated models using all methods proposed are comparable, acceptable and possible to be used as a platform of controller development and verification to suppress the vibration of the flexible plate structure.
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D. Gorinevsky, S. Boyd, and G. Stein, Design of Low-Bandwidth Spatially Distributed Feedback, IEEE Transactions on Automatic Control, Vol. 53(Issue 1):257-272, February 2008.
M. R. S. Zadeh, Optimal Placement of Sensor and Actuator for Active Vibration Control of Flexible Structures, Master Thesis Department of Applied Mechanics, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 2009.
A. A. M. Al-khafaji, I. Z. Mat Darus, and M. F. Jamid, ANFIS Modeling of Flexible Plate Structure. Proceeding of 1st International Conference on Energy, Power and Control (EPC-IQ), Basrah, Iraq, 2010.
M. S. Hadi, M. H. Hashim, and I. Z. Mat Darus, Genetic Modeling of a Rectangular Flexible Plate System with Free-Free-Clamped-Clamped (FFCC) Edges, Proceeding of 2012 IEEE Conference on Control, Systems and Industrial Informatics, Bandung, Indonesia, 2012.
I. Z. Mat Darus, and M.O.Tokhi, Soft Computing-Based Active Vibration Control of Flexible Structure, Journal of Engineering Application of Application of Artificial Intelligent 18, pp. 93-114, 2005.
P. Shimano, E. Richerb, and Y. Hurmuzla, Theoretical and Experimental Study of Efficient Control of Vibrations in a Clamped Square Plate, Journal of Sound and Vibration, 282, pp. 453-473.
Saad, M.S., Jamaluddin, H., Darus, I.Z.M., Iterative algorithm for active vibration control of flexible beam, (2012) International Review of Mechanical Engineering (IREME), 6 (1), pp. 61-73.
Tavakolpour, A.R., Mailah, M., Mat Darus, I.Z., Active vibration control of a rectangular flexible plate structure using high gain feedback regulator, (2009) International Review of Mechanical Engineering (IREME), 3 (5), pp. 579-587.
I. Z. Mat Darus, F. M. Aldebrez and M. O. Tokhi, Parametric Modeling of a Twin Rotor System using Genetic Algorithms, Proceedings of 1st IEEE International Symposium on Control, Communications and Signal Proceeding, Hammamet, Tunisia, 21-24 March 2004.
A. R. Tavalkolpour, I. Z. Mat Darus, and M. O. Tokhi (2010), Genetic Algorithm-based Identification of a Rectangular Flexible Plate System for Active Vibration Control, International Journal of Engineering Application of Artificial Intelligent, 23, pp. 1388-1397. Science Direct, Elsevier Ltd.
S. Panda, and N. P. Padhy (2008), Comparison of Particle Swarm Optimization and Genetic Algorithm for FACTS-based Controller Design, International Journal of Applied Soft Computing, 8, pp. 1418-1427. Science Direct, Elsevier Ltd.
V. Doung, and A. Stubberud (2002), System Identification by Genetic Algorithm, Proceeding of IEEEAC on Aerospace Conference Proceedings, 5, pp. 2331-2337, 9-16 March 2002
M. Marinaki, Y. Marinakis and G. E. Stavroulakis, Vibration Control of Beams with Piezoelectric Sensors and Actuators using Particle Swarm Optimization, Journal of Systems with Applications 38, pp. 6872-6883, 2011.
S. Julai, M. O. Tokhi, M. Mohamad and I.Abd. Latiff, Active Vibration Control of a Flexible Plate Structure using Particle Swarm Optimization, Proceeding of IEEE 9th International Conference on Cybernetic Intelligent Systems (CIS), Reading, United Kingdom, 2010.
A. R. Tavakolpour, Mechatronic Design of an Intelligent Active Vibration Control for Flexible Structures, Ph. D. Thesis Department of Applied Mechanics, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 2010.
E. Md. Yusup, Evaluation of an Active Force Control for Flexible Structure, Master Thesis Department of Applied Mechanics, Faculty of Mechanical Engineering, Universiti Teknologi Malaysia, 2010.
Safizadeh, M.R., Mat Darus, I.Z., Natural frequency analysis of all edges clamped flexible thin plate, (2010) International Review of Mechanical Engineering (IREME), 4 (4), pp. 433-440.
Darus, I.Z.M., Zahidi Rahman, T.A., Mailah, M., Experimental evaluation of active force vibration control of a flexible structure using smart material, (2011) International Review of Mechanical Engineering (IREME), 5 (6), pp. 1088-1094.
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