اخبار و اعلانات
آمار
| تعداد نشریات | 26 |
| تعداد شماره‌ها | 552 |
| تعداد مقالات | 5,709 |
| تعداد مشاهده مقاله | 7,972,552 |
| تعداد دریافت فایل اصل مقاله | 5,355,110 |
A FUZZY-BASED SPEED CONTROLLER FOR IMPROVEMENT OF INDUCTION MOTOR'S DRIVE PERFORMANCE | ||
| Iranian Journal of Fuzzy Systems | ||
| مقاله 5، دوره 13، شماره 2، تابستان 2016، صفحه 61-70 اصل مقاله (1.42 MB) | ||
| نوع مقاله: Research Paper | ||
| شناسه دیجیتال (DOI): 10.22111/ijfs.2016.2359 | ||
| نویسندگان | ||
| H. Asgharpour-Alamdari* ؛ Y. Alinejad-Beromi؛ H. Yaghobi | ||
| Department of Electrical Engineering, Semnan University, Semnan, Iran | ||
| چکیده | ||
| Induction motors (IMs) are widely used in many industrial applications due to their robustness, low cost, simplicity and relative good efficiency. One of the major considerations for IMs is their speed control. PI (proportional-integrator) controllers are usually used as speed controller. Adjusting the gain of PI controller is time-consuming which needs thorough considerations. Hence, fuzzy controllers are proposed to overcome such problems. In this paper, firstly drive of a three-phase induction motor is designed based on PI controller and then fuzzy logic controller is implemented. This paper presents a novel speed control technique based on fuzzy logic with two inputs and one output for drive of an IM. The inputs are speed error and derivation of speed error and the output is speed. Finally comparison is done between the PI and fuzzy controllers which shows superiority of the fuzzy controller over PI controller. | ||
| کلیدواژه‌ها | ||
| Induction Motor؛ Speed Control؛ PI controller؛ Fuzzy logic controller | ||
| مراجع | ||
|
[1] M. N. Afrozi, M. Hassanpour, A. Naebi and S. Hassanpour, Simulation and Optimization of asynchronous AC motor control by Particle Swarm Optimization (PSO) and Emperor Algo- rithm, In Computer Modeling and Simulation (EMS), 2011 Fifth UKSim European Sympo- sium , IEEE, (2011), 251-256. [2] A. Al-Odienat and A. Al-Lawama, The advantages of PID fuzzy controllers over the conven- tional types, American Journal of Applied Sciences 5(6) (2008), 653-658. [3] D. Asija, Speed control of induction motor using fuzzy-PI controller, 2nd International Con- ference In Mechanical and Electronics Engineering (ICMEE), 2(460) (2010). [4] F. Barrero, et al, Speed control of induction motors using a novel fuzzy sliding-mode structure, Fuzzy Systems, IEEE Transactions on, 10(3) (2002), 375-383. [5] E. Bim, Fuzzy optimization for rotor constant identi cation of an indirect FOC induction motor drive, Industrial Electronics, IEEE Transactions, 48(6) (2001), 1293-1295. [6] V. Chitra and R. S. Prabhakar, Induction motor speed control using fuzzy logic controller, World Academy of Science, Engineering and Technology, (23) (2006),17-22. [7] R. Dhobale and D. M. Chandwadkar, FPGA Implementation of Three-Phase Induction Mo- tor Speed Control Using Fuzzy Logic and Logic Based PWM, International Conference on Recent Trends in Engineering & Technology, (2012), 185-189. [8] A. Goedtel, I. N. Silva and P. J. A. Serni, Load torque identi cation in induction motor using neural networks technique, Electric Power Systems Research, 77(1) (2007), 35-45. [9] H. E. Kalhoodashti and M. Hahbazian, Hybrid Speed Control of Induction Motor using PI and Fuzzy Controller, International Journal of Computer Applications, 30(11) (2011), 44-50. [10] P. Kumar, V. Agarwal and A. K. Singh, Design of fuzzy PI controller for CSI Fed induction motor drive, International Journal of Electrical and Electronic System Research, 1(4)(2011), 1-9. [11] F. Lima, et al,, Peed neuro-fuzzy estimator applied to sensorless induction motor contro, Latin America Transactions, IEEE (Revista IEEE America Latina), 10(5) (2012), 2065-2073. [12] A. Lokriti, et al, Induction motor speed drive improvement using fuzzy IP-self-tuning con- troller. A real time implementation, ISA transactions, 52(3) (2013), 406-417. [13] M. A. Mannan, et al, Fuzzy-logic based speed control of induction motor considering core loss into account, Intelligent Control and Automation, (2012), 229-235. [14] D. Rai, S. Sharma and V. Bhuria, Fuzzy speed controller design of three phase induction mo- tor, International Journal of Emerging Technology and Advanced Engineering, 5(2)( 2012), 145-149. [15] C. Raj, S. Thanga, P. Srivastava and P. Agarwal, Energy ecient control of three-phase induction motor-a review, International Journal of Computer and Electrical Engineering, 1(1) (2009), 1793-1808. [16] L. Ramesh, S. P. Chowdhury, S. Chowdhury, A. K. Saha and Y. H. Song, Eciency op- timization of induction motor using a fuzzy logic based optimum ux search controller, In Power Electronics, Drives and Energy Systems, 2006. PEDES'06. International Conference, (2006), 1-6. [17] A. Sudhakar and M. V. Kumar, , A comparative analysis of PI and neuro fuzzy controllers in direct torque control of induction motor drives, Int. J. Eng. Res, 2(4) (2012), 672-680. [18] P. Tripura and Y. S. K. Babu, Fuzzy logic speed control of three phase induction motor drive, World Academy of Science, Engineering and Technology, 60(3) (2011), 1371-1375. [19] M. N. Uddin, and H. Wen, Development of a self-tuned neuro-fuzzy controller for induction motor drives, Industry Applications, IEEE Transactions , 43(4) (2007), 1108-1116. [20] F. Zidani, et al, A fuzzy-based approach for the diagnosis of fault modes in a voltage-fed PWM inverter induction motor drive, Industrial Electronics, IEEE Transactions, 55(2) (2008), 586- 593. [21] F. Zidani, et al, A fuzzy technique for loss minimization in scalar-controlled induction motor, Electric Power Components and Systems, 30(6) (2002), 625-635. | ||
|
آمار تعداد مشاهده مقاله: 1,965 تعداد دریافت فایل اصل مقاله: 3,318 |
||
