Electric Motor Drive Using Single Input Fuzzy Logic Controller for Husk Extraction in Rice Mill Industry

2021 ◽  
pp. 403-413
Author(s):  
A. Jagadeesh ◽  
K. Deepa ◽  
K. Sireesha
2021 ◽  
Vol 41 (2) ◽  
Author(s):  
Chiheb Ben Regaya ◽  
Fethi Farhani ◽  
Abderrahmen Zaafouri ◽  
Abdelkader Chaari

This paper presents the indirect field vector control of induction motor (IM) which is controlled by an adaptive Proportional-Integral (PI) speed controller. The proposed solution can overcome the rotor resistance variation, which degrades the performance of speed control. To solve this drawback, an adaptive PI controller is designed with gains adaptation based on fuzzy logic in order to improve the performances of IM with respect to parameters variations, particularly the rotor resistance (Rr). The proposed control algorithm is validated by simulation tests. The obtained results show the robustness towards the load torque disturbances and rotor resistance variation of the adaptive Proportional-Integral fuzzy logic control with respect to classical PI control, and adaptive control based on rotor resistance observer.


2020 ◽  
Vol 10 (16) ◽  
pp. 5467
Author(s):  
Po-Tuan Chen ◽  
Cheng-Jung Yang ◽  
Kuohsiu David Huang

To avoid unnecessary power loss during switching between the various power sources of a composite electric vehicle while achieving smooth operation, this study focuses on the development and dynamic simulation analysis of a control system for the power of a parallel composite vehicle. This system includes a power integration and distribution mechanism, which enables the two power sources of the internal combustion engine and electric motor to operate independently or in coordination to meet the different power-output requirements. The integration of the electric motor and battery-charging engine reduces the system complexity. To verify the working efficiency of the energy control strategy for the power system, the NEDC2000 cycle is used for the vehicle driving test, a fuzzy logic controller is established using Matlab/Simulink, and the speed and torque analysis of the components related to power system performance are conducted. Through a dynamic simulation, it is revealed that this fuzzy logic controller can adjust the two power sources (the motor and internal combustion engine) appropriately. The internal combustion engine can be maintained in the optimal operating region with low, medium, and high driving speeds.


This paper shows the real implementation of fuzzy logic controller in an AC drive system (Induction motor Drive) under Solar PV array-based system. The switching of boost converter is controlled with help of fuzzy logic by taking inputs from solar PV array while For Inverter switching is done by using fuzzy logic controller by taking inputs from induction motor drive. Initially, 20 kW solar PV array is designed for feeding the 10Kw Induction motor drive with the help MATLAB/SIMULINK. The complete system gives reliable, smooth, efficient, lesser harmonic content level in the output.


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