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.
AuthorsHashim, 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.

Year2018
JournalJournal of Telecommunication, Electronic and Computer Engineering
Journal citation10 (2-8), pp. 67-70
PublisherUniversiti Teknikal Malaysia Melaka
ISSN2180-1843
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Print01 Jan 2018
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Deposited15 Jan 2019
Accepted01 Jan 2018
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Abdul Ghani, NM, Tokhi, MO, Nasir, ANK and Ahmad, S (2012). Control of a stair climbing wheelchair. IAES International Journal of Robotics and Automation (IJRA). 1 (4). https://doi.org/10.11591/ijra.v1i4.795
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Ibrahim, BSKK, Tokhi, MO, Huq, MS and Gharooni, SC (2011). Optimized fuzzy control for natural trajectory based FES-swinging motion. International Journal of Integrated Engineering. 3 (2), pp. 17-23.
Improving particle swarm optimization convergence with spread and momentum factors
Abd Latiff, I and Tokhi, MO (2011). Improving particle swarm optimization convergence with spread and momentum factors. International Journal of Computer Sciences and Engineering Systems. 5 (3), pp. 209-217.
ANFIS and neural network techniques for non-parametric modelling of a twin rotor system
Toha, SF and Tokhi, MO (2010). ANFIS and neural network techniques for non-parametric modelling of a twin rotor system. Systems Science. 36 (4), pp. 13-31.
A novel approach in development of dynamic muscle model for paraplegic with functional electrical stimulation
Jailani, R, Tokhi, MO, Gharooni, S and Hussain, Z (2009). A novel approach in development of dynamic muscle model for paraplegic with functional electrical stimulation. Journal of Engineering and Applied Sciences. 4 (4), pp. 272-276.
Multi-objective genetic algorithm optimisation approach for the geometrical design of an active noise control system
Jafferi, N and Tokhi, MO (2009). Multi-objective genetic algorithm optimisation approach for the geometrical design of an active noise control system. International Journal of Integrated Engineering. 1 (1), pp. 73-86.
Identification of active properties of knee joint using GA optimization
Ibrahim, BSKK, Huq, MS, Tokhi, MO, Gharooni, SC, Jailani, R and Hussain, Z (2009). Identification of active properties of knee joint using GA optimization. World Academy of Science, Engineering and Technology. 55, pp. 441-446.
Particle swarm optimisation algorithms and their application to controller design for flexible structure systems
Tokhi, MO and Alam, MS (2009). Particle swarm optimisation algorithms and their application to controller design for flexible structure systems. IST Transactions of Control Engineering-Theory and Applications. 1 (3(9)), pp. 12-25.
System identification of a twin rotor multi-input multi-output system using adaptive filters with pseudo random binary input
Alam, MS and Tokhi, MO (2008). System identification of a twin rotor multi-input multi-output system using adaptive filters with pseudo random binary input. The Dhaka University Journal of Science. 57 (2), pp. 131-136.
Dynamic modelling of a twin rotor system: a genetic algorithm optimisation approach
Alam, MS and Tokhi, MO (2008). Dynamic modelling of a twin rotor system: a genetic algorithm optimisation approach. The Dhaka University Journal of Science. 56 (2), pp. 183-187.
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
Active noise and vibration control–Part I
Tokhi, M O and Figwer, J (2003). Active noise and vibration control–Part I. Archives of Control Sciences. 13 (2).
Active noise and vibration control–Part II
Figwer, J and Tokhi, MO (2003). Active noise and vibration control–Part II. Archives of Control Sciences. 13 (3).
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
Dynamic modelling of a single-link flexible manipulator: Parametric and non-parametric approaches
Shaheed, MH and Tokhi, MO (2002). Dynamic modelling of a single-link flexible manipulator: Parametric and non-parametric approaches. Robotica. 20 (1), pp. 93-109. https://doi.org/10.1017/s0263574701003678