Robust control of induction motor speed regulation system based on fuzzy neural network generalized inverse

2010 ◽  
Author(s):  
Guohai Liu ◽  
Chenglong Teng ◽  
Beibei Dong ◽  
Lingling Chen ◽  
Yan Jiang
Keyword(s):  
Neural Network ◽  
Robust Control ◽  
Induction Motor ◽  
Fuzzy Neural Network ◽  
Generalized Inverse ◽  
Regulation System ◽  
Motor Speed ◽  
Speed Regulation ◽  
Fuzzy Neural

Analysis of 3 Phase Induction Motor Speed Control with Direct Torque Control (DTC) Method Based on PID Control

2020 ◽  
Vol 7 (2) ◽  
Author(s):  
Mokh. Suseno Aji Sari ◽  
Hadi Suyono ◽  
Abraham Lomi
Keyword(s):  
Induction Motor ◽  
Pid Control ◽  
Control Method ◽  
Direct Torque Control ◽  
Torque Control ◽  
Regulation System ◽  
Motor Speed ◽  
Speed Regulation ◽  
Stable Conditions ◽  
Three Phase

This research was conducted to regulate the three phase induction motor speed regulation system. Changes in load on the motor affect the motor speed response so it does not match the set point speed. This study uses the Direct Torque Control (DTC) method in regulating the speed of an induction motor. The DTC method is a vector control method that is directly assigned to the inverter. DTC method in controlling speed based on Proportional Integral Differential (PID) control. Determination of PID tunning using two methods, namely, ziegler-nichols and cohen-coon method. The ziegler-nichols method have overshoot speeds starting at 0.8% of the setpoint, whereas using the cohen coon method there is no overshoot and the speed at stable conditions matches the setpoint.

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