Real-time embedded system of super twisting-based integral sliding mode control for quadcopter UAV

Journal article

Firdaus, A.R. and Tokhi, M. O. (2019). Real-time embedded system of super twisting-based integral sliding mode control for quadcopter UAV. 2019 2nd International Conference on Applied Engineering (ICAE). https://doi.org/10.1109/icae47758.2019.9221653
AuthorsFirdaus, A.R. and Tokhi, M. O.
Abstract

This paper presents the development of set-point weighting-based integral super-twisting sliding mode control (SISTASMC) with full-order state observers to overcome the control challenges encountered with nonlinear and underactuated systems. Quadcopter UAV form is a good example of underactuated systems, and this is selected in this research for validating the developed control. A comparative assessment through experimental validation is conducted between SISTASMC and Set-point
weighting-based Integral Sliding Mode Control to demonstrate the performance of both controllers. Based on predetermined performance criteria, the results obtained demonstrate good performance of SISTASMC in dealing with uncertainty.

KeywordsNonlinear and underactuated system; Uncertainty; Super-twisting algorithm; Integral sliding mode control; Setpoint weighting function
Year2019
Journal2019 2nd International Conference on Applied Engineering (ICAE)
PublisherIEEE
Digital Object Identifier (DOI)https://doi.org/10.1109/icae47758.2019.9221653
Publication dates
Print03 Oct 2019
Publication process dates
Accepted01 Aug 2019
Deposited09 May 2020
Accepted author manuscript
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Open
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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