Dynamic PSO Algorithm Based In-Situ Induction Motor Efficiency Determination

Author(s):  
Sakthivel V.P ◽  
Sathya P.D
1998 ◽  
Vol 13 (4) ◽  
pp. 326-333 ◽  
Author(s):  
P. Pillay ◽  
V. Levin ◽  
P. Otaduy ◽  
J. Kueck

2016 ◽  
Vol 64 (2) ◽  
pp. 307-313
Author(s):  
K. Dabala

Abstract This paper presents the results of estimating method of the energy consumed by induction motors and the legal situation concerning the efficiency of electrical motors in the European Union. Three elements of a new method of induction motor efficiency determination are described: methodology of taking into account the influence of non-sinusoidal voltage and the voltage unbalance on the motor efficiency and the application of the interval arithmetic in order to determine the border error of the induction motor efficiency. It is proved that the middle of efficiency interval for the direct method of efficiency determination is always equal to or higher than the measurement result and the radius of interval is longer than the border error.


2011 ◽  
Vol 25 (2) ◽  
pp. 116-140 ◽  
Author(s):  
Radha Thangaraj ◽  
Millie Pant ◽  
C. Thanga Raj ◽  
Atulya K. Nagar

2016 ◽  
Vol 78 (6-2) ◽  
Author(s):  
Jamal Abd Ali ◽  
M A Hannan ◽  
Azah Mohamed

Optimization techniques are increasingly used in research to improve the control of three-phase induction motor (TIM). Indirect field-oriented control (IFOC) scheme is employed to improve the efficiency and enhance the performance of variable speed control of TIM drives. The space vector pulse width modulation (SVPWM) technique is used for switching signals in a three-phase bridge inverter to minimize harmonics in the output signals of the inverter. In this paper, a novel scheme based on particle swarm optimization (PSO) algorithm is proposed to improve the variable speed control of IFOC in TIM. The PSO algorithm is used to search the best values of parameters of proportional-integral (PI) controller (proportional gain (kp) and integral gain (ki)) for each speed controller and voltage controller to improve the speed response for TIM. An optimal PI controller-based objective function is also used to tune and minimize the mean square error (MSE). Results of all tests verified the robustness of the PSO-PI controller for speed response in terms of damping capability, fast settling time, steady state error, and transient responses under different conditions of mechanical load and speed.


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