ICA  Vol.2 No.2 , May 2011
Slip Compensation in Efficiency-Optimized Three-Phase Induction Motor Drive Systems
Abstract: Energy efficiency optimization techniques of electrical drive systems improve the overall efficiency and reduce the hardness of mechanical characteristics of the drive system. It is therefore important to reduce the slip of induction motor to maintain its stable operation at different frequencies and loads. In this paper a slip compensator, based on fuzzy logic incremental controller has been developed to improve the steady state performance of efficiency-optimized three-phase induction motor drive system. The slip control is accomplished through a fuzzy controller with 9 rules, taking speed error and speed error variation as inputs, to produce the frequency. The proposed controller reduces the slip occurring at low frequencies and light loads to certain value, and also reduces the energy efficiency of the system.
Cite this paper: nullH. Sarhan, R. Issa, M. Alia and J. Assbeihat, "Slip Compensation in Efficiency-Optimized Three-Phase Induction Motor Drive Systems," Intelligent Control and Automation, Vol. 2 No. 2, 2011, pp. 95-99. doi: 10.4236/ica.2011.22011.

[1]   R. Al-Issa, H. Sarhan and I. D. Al-Khawaldeh, “Modeling and Simulation of Flux-Optimized Induction Motor Drive,” Research Journal of Applied Sciences, Engineering and Technology, Vol. 2, No. 6, 2010, pp. 603-613.

[2]   C. Thanga Raj, S. P. Srivastava and P. Agarwal, “Energy Efficient Control of Three-Phase Induction Motor,” International Journal of Computer and Electrical Engineering, Vol. 1, No. 1, 2009, pp. 61-70.

[3]   H. Sarhan and R. Issa, “Improving Mechanical Characteristics of Inverter-Induction Motor Drive System,” American Journal of Applied Sciences, Vol. 3, No. 8, 2006, pp. 1961-1966. doi:10.3844/ajassp.2006.1961.1966

[4]   H. Sarhan and R. Issa, “Modeling, Simulation and Test of Inverter-Induction Motor Drive System with Improved Performance,” Journal of Engineering Sciences, Assiut University, Vol. 33, No. 5, 2005, pp. 1873-1890.

[5]   M. Azzedine and S. Ahmad, “Fuzzy and Neural Control of an Induction Motor,” International Journal of Applied Mathematics and Computer Science, Vol. 12, No. 2, 2002, pp. 221-233.

[6]   A. Dey, B. Singh, B. Dwivedi and D. Chandra, “Vector Control of Three-Phase Induction Motor Using Artificial Intelligent Technique,” ARPN Journal of Engineering and Applied Sciences, Vol. 4, No. 4, 2009, pp. 57-67.