Particle Swarm Optimisation of a Terminal Synergetic Controllers for a DC-DC Converter

Authors: H. Abderrezek, M. N. Harmas

Abstract:

DC-DC converters are widely used as reliable power source for many industrial and military applications, computers and electronic devices. Several control methods were developed for DC-DC converters control mostly with asymptotic convergence. Synergetic control (SC) is a proven robust control approach and will be used here in a so called terminal scheme to achieve finite time convergence. Lyapounov synthesis is adopted to assure controlled system stability. Furthermore particle swarm optimization (PSO) algorithm, based on an integral time absolute of error (ITAE) criterion will be used to optimize controller parameters. Simulation of terminal synergetic control of a DC-DC converter is carried out for different operating conditions and results are compared to classic synergetic control performance, that which demonstrate the effectiveness and feasibility of the proposed control method.

Keywords: DC-DC converter, PSO, finite time, terminal, synergetic control.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1094171

References:

[1] L. Fan, and Y. Yu , "Adaptive non-singular terminal sliding mode control for DC-DC converter”, Advances in Electrical and Computer Engineering, Vol. 11, Number 2, 2011.
[2] V.I. Utkin. , Sliding modes in control and optimization, New York, Springer, 1992.
[3] J.E. Slotine., and W.P. Li, Applied nonlinear control, Prentice-Hall, Englewood Cliffs, NJ, 1991.
[4] H.F. Ho, Wong, Y.K., and A.B. Rad, "Adaptive fuzzy sliding mode control with chattering elimination for nonlinear SISO systems”, Simulation Modelling Practice and Theory’’, 2009,(17), pp. 1199–1210
[5] Zhenhua.J, Roger.A. Dougal. Synergetic Control of Power Converters for Pulse Current Charging of Advanced Batteries from a Fuel Cell Power Source. IEEE Transactions on powr electronics,Vol. 19. No. 4. July 2004.
[6] E. Santi. E, Monti. A, Donghong. L, Karthik. P, Roger. A. Dougal. Synergetic Control for DC-DC Boost Converter: Implementation Options. IEEE Transactions on industry applications. Vol. 39. No. 6. November 2003.
[7] Mezghani N., Damak T., Adaptive terminal sliding mode control for rigid robotic manipulators, International Journal of Automation and Computing 8(2), May 2011, 215-220 DOI: 10.1007/s11633-011-0576-2.
[8] H. Komurcugil, "Adaptive terminal sliding-mode control strategy for DC-DC buck converters”, ISA Transactions 51 (2012) 673-681.
[9] J. Kennedy and R.C. Eberhart, "Particle swarm optimization”, Proc. Of IEEE International Conference on Neural Networks, Piscataway, NJ. Pp 1942-1948,1995.
[10] B. Liu, K.Wang,and Q. Zou, "Study on the application of particle swarm optimization algorithm to power regulation of CPS in interconnects power grids”. IEEE Electrical Power & Energy Conference. 2008.
[11] R. Suresh Kumar,and J. Suganthi , Improving the boost Converter PID Controller performance using Particle swarm optimization, European Journal of Scientific Research, ISSN 1450-216X Vol. 85 No 3 September, 2012, pp.327 – 335.
[12] S. Vishnu Teja, T. N. Shanavas, and S. K. Patnaik, Modified PSO Based Sliding Mode Controller Parameters for Buck Converter, 2012 IEEE, Students Conference on Electrical, Electronics and Computer Science.