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p>This Paper gives a complete modeling and simulation of a two inverter fed six phase permanent magnet synchronous motor drive system, Then response based comparative analysis is done on starting torque ,settling time, Steady state current at various speed levels and torque levels by changing proportional- integral (PI) controller to Fuzzy logic co...
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... which zero degree phase shift is similar to three phase system. The most common is asymmetrical system in which the stator winding is composed of two sets of 3-phase windings, in Figure 1, which are spatially apart by 30° [10][11]. This paper concentrate on complete modeling and simulation of asymmetrical dual inverter fed 6-phase PMSM drive system controlled by traditional PI and Fuzzy logic controller at various speed levels. ...
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This paper exhibits a novel technique to obtain an encoderless speed control of a permanent magnet synchronous motor (PMSM) in the case of a loss of one phase. The importance of this work is that it presents solutions in order to maintain the operation of the system in various conditions. This will increase the reliability of the whole drive system...
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... The Proportional Integral Derivitive (PID) controller is one of the traditional controllers which are widely used in many drive system. But it has sluggish response due to sudden change in load torque and the sensitivity to controller gains (K p , K i and K d ) [3]- [5]. The control effect of PID depends solely on tuning of PID controller. ...
... The control effect of PID depends solely on tuning of PID controller. However, finding optimal gain coefficients is cumbersome because of dynamics involved in motor performance and variation of system parameters with time [5]. Traditionally, "trial and error" approach was employed to find appropriate gain values but it is complex, time consuming and does not guarantee optimal solution. ...
This work proposes an optimization algorithm to control speed of a permanent magnet synchronous motor (PMSM) during starting and speed reversal of motor, as well as during load disturbance conditions. The objective is to minimize the integral absolute control error of the PMSM shaft speed to achieve fast and accurate speed response under load disturbance and speed reversal conditions. The maximum overshoot, peak time, settling time and rise time of the motor is also minimized to obtain efficient transient speed response. Optimum speed control of PMSM is obtained with the aid of a PID speed controller. Modified Particle Swarm Optimization (MPSO) and Ant Colony Optimization (ACO) techniques has been employed for tuning of the PID speed controller, to determine its gain coefficients (proportional, integral and derivative). Simulation results demonstrate that with use of MPSO and ACO techniques improved control performance of PMSM can be achieved in comparison to the classical Ziegler-Nichols (Z-N) method of PID tuning. © 2018 Institute of Advanced Engineering and Science. All rights reserved.
