Simulation Modeling of Ball Screw Feed Drive System Based on MRAS

2012 ◽  
Vol 226-228 ◽  
pp. 607-612
Author(s):  
Yong Qiang Wang ◽  
Cheng Rui Zhang ◽  
Yue Zhang
Keyword(s):  
Mathematical Model ◽  
Simulation Modeling ◽  
Adaptive System ◽  
Second Order ◽  
Ball Screw ◽  
Model Reference ◽  
Feed Drive ◽  
Model Reference Adaptive System ◽  
Model Reference Adaptive ◽  
Screw Feed

In order to obtain a second-order mathematical model of the ball screw feed drive systems in the designing stage, this paper proposed a simulation modeling method based on model reference adaptive system. In this method, a parallel model reference adaptive system, which regarded the mechanical model as the reference model and regarded a second-order model as the adjustable model, was designed use only input and output measurements based on Popov’s hyperstability theory. And the second-order model’s parameters could be achieved by simulation. The proposed method was confirmed effective through case study. The results show that: the second-order system’s parameters can be identified correctly, and the output of the mathematical model can be followed preferably by the second-order system. The error is less than 0.02mm.

Second-order sliding mode-direct torque control and load torque estimation for sensorless model reference adaptive system–based induction machine

2020 ◽  
Vol 235 (1) ◽  
pp. 15-29 ◽  
Author(s):  
Abdelkarim Ammar
Keyword(s):  
Adaptive System ◽  
Sliding Mode ◽  
Direct Torque Control ◽  
Second Order ◽  
Torque Control ◽  
Load Torque ◽  
Model Reference ◽  
Model Reference Adaptive System ◽  
Model Reference Adaptive ◽  
Second Order Sliding Mode

In this article, an improved sensorless direct flux and torque control is presented for high-performance induction motor drive. This algorithm integrates the super twisting control approach with direct torque control and model reference adaptive system. The super twisting algorithm is a second-order sliding mode approach that uses a continuous control law in order solves the problems of chattering and enhances control robustness against various uncertainties. Besides, a load torque observer design bed on super twisting–based design is presented to improve the speed regulation loop and to increase its rejection ability of load disturbances. Furthermore, the stator flux model reference adaptive system is used as a sensorless algorithm for rotor speed reconstruction. The association of dual estimators can increase the control system’s reliability and reduce its cost. The effectiveness of the proposed control algorithm has been verified through simulation and experimental work using MATLAB/Simulink software and dSpace 1104 implementation board, respectively.

Author response for "Sensorless control for PMSM using model reference adaptive system"

2020 ◽  
Author(s):  
Ahmed G. Abo‐Khalil ◽  
Ali M. Eltamaly ◽  
Mamdooh S. Alsaud ◽  
Khairy Sayed ◽  
Ali S. Alghamdi
Keyword(s):  
Adaptive System ◽  
Sensorless Control ◽  
Author Response ◽  
Model Reference ◽  
Model Reference Adaptive System ◽  
Model Reference Adaptive
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