Response Based Comparative Analysis of Two Inverter Fed Six Phase PMSM Drive by Using PI and Fuzzy Logic Controller

Abstract

<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 controller. The PI controller has some disadvantages like, more settling time, sluggish response due to sudden change in load torque etc. So an intelligent controller, based on fuzzy logic is introduced which replaces the PI-controller and its drawbacks. The performance of both the controller has been investigated and studied by comparing the different plots obtained by setting various speed level both incremented and decremented speed , at different load conditions like No-load, fix load and dynamic load through Matlab/Simulink environment. Finally it is concluded from the result that fuzzy logic based controller is robust, reliable gives quick response with high starting torque and more effective than the conventional PI controller. It is also observed that both the proposed model can also run above rated speed significantally.</p>

Modelling and Simulation of Field Oriented Control Based Permanent Magnet Synchronous Motor Drive System

“…FOC emulate the DC conditions in AC motor structure by monitoring the rotor field position and orient the stator field accordingly so that angle between 388 both of the fields can be maintain at 90o. In this way maximum torque condition can be achieved while independently controlling rotor speed [7][8][9][10]. FOC require a position sensor for constantly monitoring the rotor position, hence rotor flux position too.…”

“…Stator field is oriented through varying phase and magnitude of three phase ac quantities. Hence it is also referred as 'vector control' [9][10][11] The flow chart describing the methodology of implementing FOC for PMSM is shown in Figure 1. Within these assumptions and using dq coordinate transformation, the mathematical model of PMSM in dq rotating coordinate system is represented in terms of following equations [12,13].…”

Comparative Evaluation of PI and Fuzzy Logic Controller for PV Grid-Tie Quasi Z-Source Multilevel Inverter

“…These values are selected by using trial and error method [15]. To control the grid power, the grid current is measured and compared with current reference and the error is given to another PI controller for generating a reference signal to control the modulation signal of the PWAM.…”