scholarly journals Solar powered hybrid multilevel inverter fed induction motor using fuzzy proportional integral speed controller

2019 ◽  
Vol 23 (Suppl. 1) ◽  
pp. 391-402
Author(s):  
Mehmet Senol

In this paper, speed control of solar powered single phase hybrid multilevel inverter fed induction motor using fuzzy proportional integral controller is proposed. The proposed control system has been developed using MATLAB/SIMULINK. Performance of the proposed controller is tested in reference speed conditions with step change. The parameter analyzed for the proposed controller is steady-state error and settling time. This is compared with the proportional integral controller. Proposed speed controller is tested with two speed region such as low speed region and high speed region. In low speed region, speed command is varied from 40, 60, and 80 rad/s with 0.6 s step time. In high speed region, speed command is varied from 100, 120, and 140 rad/s with 0.6 s step time. Corresponding, performance parameters are measured and analyzed for both regions with proposed controller and proportional integral controller. From the test results, fuzzy proportional integral speed controlled hybrid multilevel inverter fed induction motor outperforms than proportional integral controller. Finally, the results are verified experimentally.

The Induction motor has been the centre of focus in many industrial applications. This is because the Induction motor has many advantages like high precision and high torque performance. The Induction motor speed control is very essential for various applications. Conventionally induction motor speed control was done using Proportional Integral controller. This project proposes the speed control of IM using Fuzzy- Anti Windup PID controller. Using this controller the saturation effect on the speed response of the Induction motor is reduced. A vector speed control Induction motor by Fuzzy-Anti Windup PID controller is simulated using MATLAB/ SIMULINK. The control system parameters of speed of the induction motor with PI controller, Anti Windup PID controller and the proposed controller are measured and compared. From the test results the Fuzzy-Anti Windup PID controller outperforms the other considered controller performance.


This paper deals with the indirect rotor field-oriented control of asynchronous motor whose speed is controlled by a fuzzy self-adjustable proportional integral controller. This motor drive is used to propel an electric vehicle. The designing and the implementing of the fuzzy self-adjustable proportional integral controller are presented. This controller is proposed as a solution to compensate for the effect of the machine parameters variation and the external conditions. The characteristic of this controller is its capacity to adapt in real time its gains in order to reject the machine parameters disturbances. A series of measurements has been achieved to prove the performances of the improved drive using the proposed controller. Experimental results showed the high-speed tracking and the rejection disturbances capacity of the fuzzy self-adjustable proportional integral controller.


Author(s):  
Moulay Rachid Douiri ◽  
Ouissam Belghazi ◽  
Mohamed Cherkaoui

This study presents a novel neuro-fuzzy (NF)-based auto-tuning proportional integral controller (NFATPI) for accurate speed control, and to ensure optimal drive performances of the indirect field controlled induction motor drive, under system disturbances and uncertainties. The training mechanism of the proposed NF have been developed and illustrated through mathematical formulations. Then, the NF parameters have been updated on-line using a suitable training algorithm. The learning rates of the NF are derived on the basis of the discrete Lyapunov function is also illustrated, in order to confirm the stability and the performance of prediction of the proposed NFATPI. The simulation results confirm the effectiveness of the strategy NFATPI as a robust controller for high performance industrial motor drive systems.


Author(s):  
Viyils Sangregorio-Soto ◽  
Claudia L. Garzon-Castro ◽  
Gianfranco Mazzanti ◽  
Manuel Figueredo ◽  
John A. Cortes-Romero

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