Research Article | OPEN ACCESS
Reduction of Settling Time and Overshoot for Flyback Converter by Using Modern Optimization Based PI Controller Driven DC Servo Motor
1S. Subiramoniyan and 2S. Joseph Jawhar
1Satyabama University, Chennai, India
2Arunachala College of Engineering for Women, Manavilai, Vellichanthai, Tamil Nadu 629203, India
Research Journal of Applied Sciences, Engineering and Technology 2015 11:1273-1280
Received: November 25, 2014 | Accepted: February 5, 2015 | Published: August 15, 2015
Abstract
In this study, a simple PI controller is presented for regulation of the output voltage of the DC to DC fly back converter driven DC Servo motor with constant frequency. Here a new PI control algorithm implemented in FPGA has been proposed for optimizing the PI parameters using PSO and ABC optimization techniques. A comparison has been made between the two optimization algorithms across different load and voltage variations and their effectiveness in reduction of overshoot and settling time of fly back converter in DC Servo motor drive have been evaluated.
Keywords:
ABC, ISE , objective function , overshoot time , PSO, settling time,
References
-
Agnihotri, S.P. and L.M. Waghmare, 2014. Regression model for tuning the PID controller with fractional order time delay system. Ain Shams Eng. J., 5(4): 1071-1081.
CrossRef -
Ali, N.A., 2014. Design and implementation of close loop DC motor speed control based on LabView. Int. J. Enhanced Res. Sci. Technol. Eng., 3(7): 354-361.
-
Aswathy, P.S. and M.S.P. Subathra, 2012. Series-connected forward-flyback converter for high set-up power conversion. Int. J. Eng. Adv. Technol., 2: 269-273.
-
Banerjee, T., S. Choudhuri, J. Bera and A. Maity, 2010. Off-line optimization of PI and PID controller for a vector controlled induction motor drive using PSO. Proceeding of the International Conference on Electrical and Computer Engineering, pp: 74-77.
CrossRef -
Fanghua, Z. and Y. Yangguang, 2009. Novel forward-flyback hybrid bidirectional DC-DC converter. IEEE T. Ind. Electron., 56: 1578-1584.
CrossRef -
Farokhnia, N., R. Khoraminia and G.B. Gharehpetian, 2010. Optimization of PI controller gains in nonlinear controller of STATCOM using PSO and GA. Proceeding of the International Conference on Renewable Energies and Power Quality (ICREPQ’10). Granada, Spain.
-
Ibtissem, C., L. Noureddine and B. Pierre, 2012. Tuning PID controller using multiobjective ant colony optimization. Appl. Comput. Intell. Soft Comput., 2012: 7.
CrossRef -
Jain, M., M. Daniele and P.K. Jain, 2000. A bidirectional DC-DC converter topology for low power application. IEEE T. Power Electr., 15: 595-606.
CrossRef' target='_blank'>CrossRef -
Megha, J. and P. Mohna, 2013. Speed control of DC motor using genetic algorithm based PID controller. Int. J. Adv. Res. Comput. Sci. Softw. Eng., 3: 247-253.
-
Mishra, A.K., A. Khanna, N.K. Singh and V.K. Mishra, 2013. Speed control of DC motor using artificial bee colony optimization technique. Universal J. Electr. Electron. Eng., 1(3): 68-75.
CrossRef -
Mitra, R. and S. Singh, 2013. Optimal fuzzy supervised PID controller using ant colony optimization algorithm. Adv. Electron. Electr. Eng., 3: 553-560.
-
Neetu, S., C. Pradyumn and D. Rahul, 2013. Comparative study of PI controlled and fuzzy controlled buck converter. Int. J. Eng. Trends Technol., 4: 451-457.
-
Pavankumar, S.V.S.R., S. Krishnaveni, Y.B. Venugopal and Y.S. Kishore Babu, 2010. A neuro-fuzzy based speed control of separately excited DC motor. Proceeding of the IEEE International Conference on Computational Intelligence and Communication Networks, pp: 93-98.
CrossRef -
Popadic, B., B. Dumnic, D. Milicevic, V. Katic and Z. Corba, 2013. Tuning methods for PI controller-comparison on a highly modular drive. Proceeding of the IEEE 4th International Youth Conference on Energy (IYCE, 2013), pp: 1-6.
CrossRef -
Rajinikanth, V. and K. Latha, 2012. Controller parameter optimization for nonlinear systems using enhanced bacteria foraging algorithm. Appl. Comput. Intell. Soft Comput., 2012(22): 1-12.
CrossRef -
Ramesh, K., H. Dilawar and Ruchita, 2009. Optimization of PI coefficients in DSTATCOM nonlinear controller for regulating DC voltage using particle swarm optimization. Proceeding of the 4th IEEE Conference on Industrial Electronics and Applications.
-
Singh, D., N. Singh, B. Singh and S. Prakash, 2013. Optimal gain tuning of PI current controller with parameter uncertainty in DC motor drive for speed control. Proceeding of the IEEE Students Conference on Engineering and Systems (SCES, 2013). Allahabad, pp: 1-6.
CrossRef -
Subhojit, M., D. Palash, C. Sayantan and B. Abhishek, 2014. Parameter estimation of a PID controller using particle swarm optimization algorithm. Int. J. Adv. Res. Comput. Commun. Eng., 3: 5827-5830.
-
Syed, F.U., Y. Hao, K. Ming, S. Okubo and M. Smith, 2006. Rule-based fuzzy gain-scheduling PI controller to improve engine speed and power behavior in a power-split hybrid electric vehicle. Proceeding of the IEEE Annual meeting of the North AmericanFuzzy Information Processing Society (NAFIPS’06). Montreal, Que, pp: 284-289.
CrossRef -
Tacca, H.E., 1998. Single-switch two-output flyback-forward converter operation. IEEE T. Power Electr., 13: 903-911.
CrossRef -
Yao, S., Y. Hu, M. Bao and M. Han, 2013. Parameter optimization of PI controller in PV inverter. Proceeding of the 2nd IET IEEE Renewable Power Generation Conference (RPG’2013). Beijing, pp: 1-4.
PMCid:PMC3705577 -
Zhitong, G. and K.Y. Lee, 2011. A self-adaptive fuzzy PI controller of power conditioning system for hybrid fuel-cell/turbine power plant. Proceeding of the IEEE North American Power Symposium (NAPS, 2011). Boston, MA, pp: 1-6.
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
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The authors have no competing interests.
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