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Published in: Electrical Engineering 2/2016

14-12-2015 | Original Paper

Imperialist competitive algorithm for speed control of induction motor supplied by wind turbine

Author: E. S. Ali

Published in: Electrical Engineering | Issue 2/2016

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Abstract

This paper proposes the speed control of induction motor (IM) fed by wind turbine using imperialist competitive algorithm (ICA). The wind turbine plays as a prime mover to a connected direct current (DC) generator. Pulse width modulation (PWM) is used to get three-phase alternating current (AC) voltage from the output of DC generator. The proposed design problem of speed controller is established as an optimization problem. ICA is adopted to search for optimal controller parameters by minimizing the time domain objective function. The behavior of the proposed ICA has been estimated with the behavior of the conventional Ziegler–Nichols (ZN) and genetic algorithm (GA) to prove the superiority of the proposed ICA in tuning proportional plus integral (PI) controller. Also, the behavior of the proposed controller has been tested over a wide range of operating conditions. Simulation results confirm the better behavior of the optimized PI controller based on ICA compared with other algorithms.

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Appendix
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Literature
1.
go back to reference Mansouri A, Chenafa M, Bouhenna A, Etien E (2004) Power nonlinear observer associated with field-oriented control of an induction motor. Appl Math Comput Sci 14(2):209–220MathSciNetMATH Mansouri A, Chenafa M, Bouhenna A, Etien E (2004) Power nonlinear observer associated with field-oriented control of an induction motor. Appl Math Comput Sci 14(2):209–220MathSciNetMATH
2.
go back to reference Sarde H, Auti A, Gadhave V (2014) Speed control of induction motor using vector control technique. Int J Eng Res Technol 3(4):2399–2405 Sarde H, Auti A, Gadhave V (2014) Speed control of induction motor using vector control technique. Int J Eng Res Technol 3(4):2399–2405
3.
go back to reference Dongale TD, Kulkarni TG, Jadhav SR, Kulkarni SV, Mudholkar RR (2012) AC induction motor control—a neuro-fuzzy approach. Int J Eng Sci Adv Technol 2(4):863–870 Dongale TD, Kulkarni TG, Jadhav SR, Kulkarni SV, Mudholkar RR (2012) AC induction motor control—a neuro-fuzzy approach. Int J Eng Sci Adv Technol 2(4):863–870
4.
go back to reference Nikhitha D, Sekhar JNC (2013) Modeling and simulation of IM drive performance using PI, ANN and FLC. Int J Emerg Technol Adv Eng J 3(10):395–401 Nikhitha D, Sekhar JNC (2013) Modeling and simulation of IM drive performance using PI, ANN and FLC. Int J Emerg Technol Adv Eng J 3(10):395–401
5.
go back to reference Kalhoodashti HE, Shahbazian M (2011) Hybrid speed control of induction motor using PI and fuzzy controller. Int J Comput Appl 30(11):44–50 Kalhoodashti HE, Shahbazian M (2011) Hybrid speed control of induction motor using PI and fuzzy controller. Int J Comput Appl 30(11):44–50
6.
go back to reference Devi K, Gautam S, Nagaria D (2014) Speed control of 3-phase induction motor using self-tuning fuzzy PID controller and conventional PID controller. Int J Inform Comput Technol 4(12):1185–1193 Devi K, Gautam S, Nagaria D (2014) Speed control of 3-phase induction motor using self-tuning fuzzy PID controller and conventional PID controller. Int J Inform Comput Technol 4(12):1185–1193
7.
go back to reference Pravallika S, Sekhar JNC, Reddy DP (2015) Optimization of speed control of induction motor using self tuned PI plus fuzzy hybrid controller. Int J Emerg Technol Adv Eng 5(1):258–262 Pravallika S, Sekhar JNC, Reddy DP (2015) Optimization of speed control of induction motor using self tuned PI plus fuzzy hybrid controller. Int J Emerg Technol Adv Eng 5(1):258–262
8.
go back to reference Banzhafand W, Reeves C (1999) Foundations of genetic algorithms, 1st edn. Morgan Kaufmann, Burlington Banzhafand W, Reeves C (1999) Foundations of genetic algorithms, 1st edn. Morgan Kaufmann, Burlington
9.
go back to reference Chebre M, Meroufel A, Bendaha Y (2011) Speed control of induction motor using genetic algorithm-based PI controller. Acta Polytechnica Hungarica 8(6):141–153 Chebre M, Meroufel A, Bendaha Y (2011) Speed control of induction motor using genetic algorithm-based PI controller. Acta Polytechnica Hungarica 8(6):141–153
10.
go back to reference Anulmozhiyal R, Baskarn K (2009) Speed control of induction motor using fuzzy PI and optimized using GA. Int J Recent Trends Eng 2(5):43–47 Anulmozhiyal R, Baskarn K (2009) Speed control of induction motor using fuzzy PI and optimized using GA. Int J Recent Trends Eng 2(5):43–47
11.
go back to reference Tiwari VK, Prakash S, Zeeshan A (2014) Speed control of induction motor fed from wind turbine using genetic algorithm. Int J Adv Res Electr Electron Instrum Eng 3(8):11457–11465 Tiwari VK, Prakash S, Zeeshan A (2014) Speed control of induction motor fed from wind turbine using genetic algorithm. Int J Adv Res Electr Electron Instrum Eng 3(8):11457–11465
12.
go back to reference Ahamed SR, Sekhar JNC, Reddy DP (2015) Speed control of induction motor by using intelligence techniques. Int J Eng Res Appl 5(1)(Part 5):130–135 Ahamed SR, Sekhar JNC, Reddy DP (2015) Speed control of induction motor by using intelligence techniques. Int J Eng Res Appl 5(1)(Part 5):130–135
13.
go back to reference Manepalli JR, Raja CVN (2015) Speed control of induction motor by Z–N method and genetic algorithm optimization with PI and PID controller. Int J Innov Res Electr Electron Instrum Control Eng 3(3):15–20CrossRef Manepalli JR, Raja CVN (2015) Speed control of induction motor by Z–N method and genetic algorithm optimization with PI and PID controller. Int J Innov Res Electr Electron Instrum Control Eng 3(3):15–20CrossRef
14.
go back to reference Acarnley P (2002) Tuning PI speed controllers for electric drives using simulated annealing. In: Proceedings of the 2002 IEEE international symposium on industrial electronics, vol 4, pp 1131–1135 Acarnley P (2002) Tuning PI speed controllers for electric drives using simulated annealing. In: Proceedings of the 2002 IEEE international symposium on industrial electronics, vol 4, pp 1131–1135
15.
go back to reference Ebrahim EA (2014) Artificial bee colony-based design of optimal on-line self-tuning PID-controller fed AC drives. Int J Eng Res 3(12):807–811 Ebrahim EA (2014) Artificial bee colony-based design of optimal on-line self-tuning PID-controller fed AC drives. Int J Eng Res 3(12):807–811
16.
go back to reference Oshaba AS, Ali ES, Abd-Elazim SM (2015) Artificial bee colony algorithm based maximum power point tracking in photovoltaic system. Int J WSEAS Trans Power Syst 10:123–134 Oshaba AS, Ali ES, Abd-Elazim SM (2015) Artificial bee colony algorithm based maximum power point tracking in photovoltaic system. Int J WSEAS Trans Power Syst 10:123–134
17.
go back to reference Oshaba AS, Ali ES, Abd-Elazim SM (2015) ACO based speed control of SRM fed by photovoltaic system. Int J Electr Power Energy Syst 67:529–536CrossRef Oshaba AS, Ali ES, Abd-Elazim SM (2015) ACO based speed control of SRM fed by photovoltaic system. Int J Electr Power Energy Syst 67:529–536CrossRef
18.
go back to reference Ali ES (2015) Firefly algorithm based speed control of DC series motor. Int J WSEAS Trans Syst Control 10:137–147 Ali ES (2015) Firefly algorithm based speed control of DC series motor. Int J WSEAS Trans Syst Control 10:137–147
19.
go back to reference Shi Y, Eberhart RC (1998) A modified swarm optimizer. In: Proc. of the IEEE Int. Conf. on evolutionary computation, anchorage, pp 69–73 Shi Y, Eberhart RC (1998) A modified swarm optimizer. In: Proc. of the IEEE Int. Conf. on evolutionary computation, anchorage, pp 69–73
20.
go back to reference Raj CT, Srivastava SP, Agarwal P (2009) Particle swarm and fuzzy logic based optimal energy control of induction motor for a mine hoist load diagram. Int J Comput Sci 36(1):1–9 Raj CT, Srivastava SP, Agarwal P (2009) Particle swarm and fuzzy logic based optimal energy control of induction motor for a mine hoist load diagram. Int J Comput Sci 36(1):1–9
21.
go back to reference Thangaraj R, Chelliah TR, Pant M, Abraham A, Grosan C (2011) Optimal gain tuning of PI speed controller in induction motor drives using particle swarm optimization. Logic J IGPL 19(2):343–356MathSciNetCrossRef Thangaraj R, Chelliah TR, Pant M, Abraham A, Grosan C (2011) Optimal gain tuning of PI speed controller in induction motor drives using particle swarm optimization. Logic J IGPL 19(2):343–356MathSciNetCrossRef
22.
go back to reference Hassan FA, Rashad LJ (2011) Particle swarm optimization for adapting fuzzy logic controller of SPWM inverter fed 3-phase IM. Eng Tech J 29(14):2912–2925 Hassan FA, Rashad LJ (2011) Particle swarm optimization for adapting fuzzy logic controller of SPWM inverter fed 3-phase IM. Eng Tech J 29(14):2912–2925
23.
go back to reference Eissa MM, Virk GS, Abdel AM, Ghith ES (2013) Optimum induction motor speed control technique using particle swarm optimization. Int J Energy Eng 3(2):65–73 Eissa MM, Virk GS, Abdel AM, Ghith ES (2013) Optimum induction motor speed control technique using particle swarm optimization. Int J Energy Eng 3(2):65–73
24.
go back to reference Oshaba AS, Ali ES (2013) Speed control of induction motor fed from wind turbine via particle swarm optimization based PI controller. Res J Appl Sci Eng Technol 5(18):4594–4606 Oshaba AS, Ali ES (2013) Speed control of induction motor fed from wind turbine via particle swarm optimization based PI controller. Res J Appl Sci Eng Technol 5(18):4594–4606
25.
go back to reference Oshaba AS, Ali ES (2013) Swarming speed control for DC permanent magnet motor drive via pulse width modulation technique and DC/DC converter. Res J Appl Sci Eng Technol 5(18):4576–4583 Oshaba AS, Ali ES (2013) Swarming speed control for DC permanent magnet motor drive via pulse width modulation technique and DC/DC converter. Res J Appl Sci Eng Technol 5(18):4576–4583
26.
go back to reference Sneha JA, Victor VBJ, Glenn JA (2014) Indirect field oriented speed control of an induction motor drive by using PSO algorithm. Int J Technol Res Eng 1(11):1255–1259 Sneha JA, Victor VBJ, Glenn JA (2014) Indirect field oriented speed control of an induction motor drive by using PSO algorithm. Int J Technol Res Eng 1(11):1255–1259
27.
go back to reference Kaveh A (2014) Advances in metaheuristic algorithms for optimal design of structures. Springer, BerlinCrossRefMATH Kaveh A (2014) Advances in metaheuristic algorithms for optimal design of structures. Springer, BerlinCrossRefMATH
28.
go back to reference Fogel DB (2006) Evolutionary computation towards a new philosophy of machine intelligence, 3rd edn. Willey-IEEE Press, New YorkMATH Fogel DB (2006) Evolutionary computation towards a new philosophy of machine intelligence, 3rd edn. Willey-IEEE Press, New YorkMATH
29.
go back to reference Bhushan B, Singh M (2011) Adaptive control of DC motor using bacterial foraging algorithm. Int J Appl Soft Comput 11(8):4913–4920CrossRef Bhushan B, Singh M (2011) Adaptive control of DC motor using bacterial foraging algorithm. Int J Appl Soft Comput 11(8):4913–4920CrossRef
30.
go back to reference Ali ES, Abd-Elazim SM (2013) Power system stability enhancement via bacteria foraging optimization algorithm. Int Arab J Sci Eng (AJSE) 38(3):599–611CrossRef Ali ES, Abd-Elazim SM (2013) Power system stability enhancement via bacteria foraging optimization algorithm. Int Arab J Sci Eng (AJSE) 38(3):599–611CrossRef
31.
go back to reference Oshaba AS, Ali ES (2014) Bacteria foraging: a new technique for speed control of DC series motor supplied by photovoltaic system. Int J WSEAS Trans Power Syst 9:185–195 Oshaba AS, Ali ES (2014) Bacteria foraging: a new technique for speed control of DC series motor supplied by photovoltaic system. Int J WSEAS Trans Power Syst 9:185–195
32.
go back to reference Elakkiya M, Muralidharan D (2014) Performance enhancement of three phase squirrel cage induction motor using BFOA. Int J Eng Res Gen Sci 2(6):720–728 Elakkiya M, Muralidharan D (2014) Performance enhancement of three phase squirrel cage induction motor using BFOA. Int J Eng Res Gen Sci 2(6):720–728
33.
go back to reference Shi X, Lin WX (2012) PID control based on an improved cooperative particle swarm-bacterial hybrid optimization algorithm for the induction motor. Adv Inform Sci Service Sci (AISS) 4(21):517–524MathSciNet Shi X, Lin WX (2012) PID control based on an improved cooperative particle swarm-bacterial hybrid optimization algorithm for the induction motor. Adv Inform Sci Service Sci (AISS) 4(21):517–524MathSciNet
34.
go back to reference Atashpaz-Gargari E, Lucas C (2007) Imperialist competitive algorithm an algorithm for optimization inspired by imperialist competition. IEEE congress on evolutionary computation, pp 4661–4667 Atashpaz-Gargari E, Lucas C (2007) Imperialist competitive algorithm an algorithm for optimization inspired by imperialist competition. IEEE congress on evolutionary computation, pp 4661–4667
35.
go back to reference Lucas C, Nasiri Z, Tootoonchian F (2010) Application of an imperialist competitive algorithm to the design of a linear induction motor. Int J Energy Convers Manag 51(7):1407–1411CrossRef Lucas C, Nasiri Z, Tootoonchian F (2010) Application of an imperialist competitive algorithm to the design of a linear induction motor. Int J Energy Convers Manag 51(7):1407–1411CrossRef
36.
go back to reference Moradi MH, Zeinalzadeh A, Mohammadi Y, Abedini M (2014) An efficient hybrid method for solving the optimal sitting and sizing problem of DG and shunt capacitor banks simultaneously based on imperialist competitive algorithm and genetic algorithm. Int J Electr Power Energy Syst 54:101–111CrossRef Moradi MH, Zeinalzadeh A, Mohammadi Y, Abedini M (2014) An efficient hybrid method for solving the optimal sitting and sizing problem of DG and shunt capacitor banks simultaneously based on imperialist competitive algorithm and genetic algorithm. Int J Electr Power Energy Syst 54:101–111CrossRef
37.
go back to reference Ravadanegh SN, Roshanagh RG (2014) On optimal multistage electric power distribution networks expansion planning. Int J Electr Power Energy Syst 54:487–497CrossRef Ravadanegh SN, Roshanagh RG (2014) On optimal multistage electric power distribution networks expansion planning. Int J Electr Power Energy Syst 54:487–497CrossRef
38.
go back to reference Mirhoseini SH, Hosseini SM, Ghanbari M, Ahmadi M (2014) A new improved adaptive imperialist competitive algorithm to solve the reconfiguration problem of distribution systems for loss reduction and voltage profile improvement. Int J Electr Power Energy Syst 55:128–143CrossRef Mirhoseini SH, Hosseini SM, Ghanbari M, Ahmadi M (2014) A new improved adaptive imperialist competitive algorithm to solve the reconfiguration problem of distribution systems for loss reduction and voltage profile improvement. Int J Electr Power Energy Syst 55:128–143CrossRef
39.
go back to reference Ivatloo BM, Rabiee A, Soroudi A, Ehsan M (2012) Imperialist competitive algorithm for solving non-convex dynamic economic power dispatch. Energy 44:228–240 Ivatloo BM, Rabiee A, Soroudi A, Ehsan M (2012) Imperialist competitive algorithm for solving non-convex dynamic economic power dispatch. Energy 44:228–240
40.
go back to reference Ghasemi M, Ghavidel S, Ghanbarian MM, Gharibzadeh M, Vahed AA (2014) Multi-objective optimal power flow considering the cost, emission, voltage deviation and power losses using multi-objective modified imperialist competitive algorithm. Energy 78:276–289CrossRef Ghasemi M, Ghavidel S, Ghanbarian MM, Gharibzadeh M, Vahed AA (2014) Multi-objective optimal power flow considering the cost, emission, voltage deviation and power losses using multi-objective modified imperialist competitive algorithm. Energy 78:276–289CrossRef
41.
go back to reference Ghasemi M, Ghavidel S, Rahmani S, Roosta A, Falah H (2014) A novel hybrid algorithm of imperialist competitive algorithm and teaching learning algorithm for optimal power flow problem with non-smooth cost functions. Eng Appl Artif Intell 29:54–69CrossRef Ghasemi M, Ghavidel S, Rahmani S, Roosta A, Falah H (2014) A novel hybrid algorithm of imperialist competitive algorithm and teaching learning algorithm for optimal power flow problem with non-smooth cost functions. Eng Appl Artif Intell 29:54–69CrossRef
42.
go back to reference Wildi T (2005) Electrical machines, drives and power systems, 6th edn. Prentice Hall, USAMATH Wildi T (2005) Electrical machines, drives and power systems, 6th edn. Prentice Hall, USAMATH
43.
go back to reference Hughes A, Drury B (2013) Electric motors and drives: fundamentals, types and applications, 4th edn. Newnes, Oxford Hughes A, Drury B (2013) Electric motors and drives: fundamentals, types and applications, 4th edn. Newnes, Oxford
44.
go back to reference Filizadeh S (2013) Electric machines and drives: principles, control, modeling, and simulation. CRC Press, Boca Raton Filizadeh S (2013) Electric machines and drives: principles, control, modeling, and simulation. CRC Press, Boca Raton
45.
go back to reference Heier S, Waddington R (2006) Grid integration of wind energy conversion systems, 2nd edn. Wiley-Blackwell, New York Heier S, Waddington R (2006) Grid integration of wind energy conversion systems, 2nd edn. Wiley-Blackwell, New York
46.
go back to reference Trinadha K, Kumar A, Sandhu KS (2011) Wind driven induction generator study with static and dynamic loads. Int J Energy Sci 1(3):151–161 Trinadha K, Kumar A, Sandhu KS (2011) Wind driven induction generator study with static and dynamic loads. Int J Energy Sci 1(3):151–161
47.
go back to reference Barakat M, Elmasry S, Bahgat ME, Sayed AA (2012) Effect of rotor current control for wound rotor induction generator on the wind turbine performance. Int J Power Electr Drive Syst 2(2):117–126 Barakat M, Elmasry S, Bahgat ME, Sayed AA (2012) Effect of rotor current control for wound rotor induction generator on the wind turbine performance. Int J Power Electr Drive Syst 2(2):117–126
48.
go back to reference Abd-Elazim SM, Ali ES (2013) Synergy of particle swarm optimization and bacterial foraging for TCSC damping controller design. Int J WSEAS Trans Power Syst 8(2):74–84 Abd-Elazim SM, Ali ES (2013) Synergy of particle swarm optimization and bacterial foraging for TCSC damping controller design. Int J WSEAS Trans Power Syst 8(2):74–84
49.
go back to reference Ali ES (2014) Optimization of power system stabilizers using BAT search algorithm. Int J Electr Power Energy Syst 61:683–690CrossRef Ali ES (2014) Optimization of power system stabilizers using BAT search algorithm. Int J Electr Power Energy Syst 61:683–690CrossRef
Metadata
Title
Imperialist competitive algorithm for speed control of induction motor supplied by wind turbine
Author
E. S. Ali
Publication date
14-12-2015
Publisher
Springer Berlin Heidelberg
Published in
Electrical Engineering / Issue 2/2016
Print ISSN: 0948-7921
Electronic ISSN: 1432-0487
DOI
https://doi.org/10.1007/s00202-015-0353-2

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