Optimal tuning of PD controllers using modified artificial bee colony algorithm

Journal article

Hashim, MR, Hyreil, AK and Tokhi, MO (2018). Optimal tuning of PD controllers using modified artificial bee colony algorithm. Journal of Telecommunication, Electronic and Computer Engineering. 10 (2-8), pp. 67-70.

Publication dates
Authors	Hashim, MR, Hyreil, AK and Tokhi, MO
Abstract	© 2018 Universiti Teknikal Malaysia Melaka. All Rights Reserved. This paper presents an investigation of PD controller tuning using a modified artificial bee colony algorithm (MABC). The main purpose of this work is to apply and investigates the performance of MABC in tuning the PD controller of single link manipulator system (SLMS) in comparison with the original ABC. The objective of the MABC algorithm is to minimize the error by using mean square error (MSE) as an objective function. The proposed algorithm has also been tested in three benchmark functions with different dimensions to checked the robustness of the algorithm in different problems surface. The result shows that the MABC able to tune the controller to their best optimum value.
Year	2018
Journal	Journal of Telecommunication, Electronic and Computer Engineering
Journal citation	10 (2-8), pp. 67-70
Publisher	Universiti Teknikal Malaysia Melaka
ISSN	2180-1843
Print	01 Jan 2018
Publication process dates
Deposited	15 Jan 2019
Accepted	01 Jan 2018
Accepted author manuscript	Ruzaini et al_JTE&CE_2018.pdf License CC BY 4.0 File Access Level Open

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Augmented feedforward and feedback control scheme for input tracking and vibration control

Alam, MS, Aldebrez, FM and Tokhi, MO (2008). Augmented feedforward and feedback control scheme for input tracking and vibration control. The Dhaka University Journal of Science. 57 (1), pp. 67-70.

Genetic algorithm-based modeling and optimization of control parameters of an air motor

Marumo, RR and Tokhi, MO (2008). Genetic algorithm-based modeling and optimization of control parameters of an air motor. Journal of Intelligent Systems. 17 (Supplement), pp. 87-108. https://doi.org/10.1515/JISYS.2008.17.S1.87

Genetic algorithm optimization and control system design of flexible structures

Tokhi, MO, Md Zain, MZ, Alam, MS, Aldebrez, FM, Mohd Hashim, SZ and Mat Darus, IZ (2008). Genetic algorithm optimization and control system design of flexible structures. Journal of Intelligent Systems. 17 (Supplement), pp. 133-168. https://doi.org/10.1515/JISYS.2008.17.S1.133

Mobile robotics moves forward on standardisation

Tokhi, MO (2007). Mobile robotics moves forward on standardisation. Industrial Robot: An International Journal. 34 (2). https://doi.org/10.1108/ir.2007.04934baa.002

Modelling and simulation of an air motor system using extended radial basis algorithm

Marumo, R and Tokhi, MO (2007). Modelling and simulation of an air motor system using extended radial basis algorithm. Botswana Journal of Technology. 16 (1), pp. 16-25.

GA-based neural fuzzy control of flexible-link manipulators

Siddique, MNH and Tokhi, MO (2006). GA-based neural fuzzy control of flexible-link manipulators. Engineering Letters. 13 (2), pp. 148-157.

Performance Of Hybrid Learning Control With Input Shaping For Input Tracking And Vibration Suppression Of A Flexible Manipulator

Md. Zain, MZ, Tokhi, MO and Mohamed, Z (2006). Performance Of Hybrid Learning Control With Input Shaping For Input Tracking And Vibration Suppression Of A Flexible Manipulator. Jurnal Teknologi. 44 (1). https://doi.org/10.11113/jt.v44.353

Modelling, simulation and proportional integral control of a pneumatic motor

Marumo, R and Tokhi, MO (2006). Modelling, simulation and proportional integral control of a pneumatic motor. Engineering Letters. 13 (2), pp. 185-194.

Real-time design constraints in implementing active vibration control algorithms

Hossain, MA and Tokhi, MO (2006). Real-time design constraints in implementing active vibration control algorithms. International Journal of Automation and Computing. 3 (3), pp. 252-262. https://doi.org/10.1007/s11633-006-0252-0

Intelligent methods for active noise and vibration control

Tokhi, M O (2004). Intelligent methods for active noise and vibration control. Archives of Acoustics. 29 (2), pp. 259-273.

Genetic modelling and simulation of flexible structures

Mohd Hashim, SZ and Tokhi, MO (2004). Genetic modelling and simulation of flexible structures. Studies in Informatics and Control. 13 (4), pp. 253-264.

Improving performance in single-link flexible manipulator using hybrid learning control

Md Zain, MZ, Tokhi, MO, Mailah, M and Mohamed, Z (2004). Improving performance in single-link flexible manipulator using hybrid learning control. Jurnal Mekanikal. 18, pp. 13-28.

Dynamic modelling and open-loop control of a two-degree-of-freedom twin-rotor multi-input multi-output system

Ahmad, SM, Chipperfield, AJ and Tokhi, MO (2004). Dynamic modelling and open-loop control of a two-degree-of-freedom twin-rotor multi-input multi-output system. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering. 218 (6), pp. 451-463. https://doi.org/10.1243/0959651052010089

Adaptive active control of noise and vibration

Tokhi, MO (2003). Adaptive active control of noise and vibration. Archives of Control Sciences. 13 (2), pp. 117-139.

Genetic algorithms based adaptive active vibration control of a flexible plate structure

Mat Darus, IZ and Tokhi, MO (2003). Genetic algorithms based adaptive active vibration control of a flexible plate structure. Systems Science. 29 (3), pp. 65-79.

Vibration control of pitch movement using command shaping techniques– Experimental investigation

Aldebrez, FM and Tokhi, MO (2003). Vibration control of pitch movement using command shaping techniques– Experimental investigation. Systems Science. 29 (2), pp. 129-143. https://doi.org/10.1109/ETFA.2003.1247741

Dynamic modelling and linear quadratic Gaussian control of a twin-rotor multi-input multi-output system

Ahmad, SM, Chipperfield, AJ and Tokhi, MO (2003). Dynamic modelling and linear quadratic Gaussian control of a twin-rotor multi-input multi-output system. Proceedings of the Institution of Mechanical Engineers, Part I: Journal of Systems and Control Engineering. 217 (3), pp. 203-227. https://doi.org/10.1243/095965103765832885