Angular velocity estimator based on the inductance frequency characteristic for an inverter fed induction motor — Simulation studies

2016 ◽  
Author(s):  
Grzegorz Utrata ◽  
Jaroslaw Rolek ◽  
Andrzej Kaplon
Keyword(s):  
Angular Velocity ◽  
Induction Motor ◽  
Frequency Characteristic ◽  
Simulation Studies ◽  
Motor Simulation

Dynamics Equations of Robots Mounted on Moving Bases

1991 ◽  
Author(s):  
R. W. Toogood
Keyword(s):  
Angular Velocity ◽  
Control Systems ◽  
Linear Acceleration ◽  
Computer Code ◽  
Dynamics Simulation ◽  
Simulation Studies ◽  
Flexible Link ◽  
Paper Briefly ◽  
Simulation Results ◽  
Simplification Techniques

Abstract A number of programs have been developed for the automatic symbolic generation of efficient computer code for the dynamic analysis of serial rigid and flexible link manipulators. Code for both the inverse and the direct dynamics computations can be generated. The symbolic generators allow the robot base to be given an arbitrary linear acceleration anchor angular velocity and acceleration. The efficiency of the generated code is an important consideration for simulation studies and/or implementation in control systems. This paper briefly describes the symbolic generation and simplification techniques. The added computational load due to including the base motion is discussed. Some dynamics simulation results are presented for a 3R rigid link manipulator mounted on an oscillating base, which graphically illustrates the effect of the base movement on the dynamics.

scholarly journals A study of sensorless vector control of IM using neural network luenberger observer

2020 ◽  
Vol 11 (3) ◽  
pp. 1259
Author(s):  
Tahar Belbekri ◽  
Bousmaha Bouchiba ◽  
Ismail khalil Bousserhane ◽  
Houcine Becheri
Keyword(s):  
Neural Network ◽  
Artificial Intelligence ◽  
Vector Control ◽  
Induction Motor ◽  
Speed Control ◽  
Motor Simulation ◽  
Electronic Components ◽  
Luenberger Observer ◽  
Sensorless Vector Control ◽  
Simulation Results

After the development of electronic components, the elimination of the sensors has become a necessary subject to get good results in the field of speed control, because of the price of the sensors, the strenuous choice of its position and the disturbance of measurement which affects the robustness of control. The luenberger observer showed to be one of the most excellent methods suggested by the researchers; this is due to the best performance, it offers in terms of stability, reliability and less counting effort. In this article, a study of luenberger observer based on neural network-based was discussed. This artificial intelligence method makes it possible to decrease the error of estimated speed for IRFOC control of the induction motor. Simulation results are obtained to show the robustness and stability of the system.

ANGULAR VELOCITY CONTROL OF PNEUMATIC SOFT ROBOTIC DIGITS

2021 ◽  
pp. 1-4
Author(s):  
Wenyuan Shi ◽  
Muthu Wijesundara
Keyword(s):  
Angular Velocity ◽  
Pi Control ◽  
Reliable Control ◽  
Simulation Studies ◽  
Control Parameters ◽  
Velocity Control ◽  
Hand Rehabilitation ◽  
Linear Dynamic ◽  
And Performance ◽  
Order State

Abstract The paper presents an angular velocity controller for the pneumatic soft robotic gloves which are applied to medical hand rehabilitation and performance augmentation. In order to configure the reliable control parameters, linear dynamic 2nd order state-space models of five robotic digits were identified by the experimental data. Using the identified models, PI control parameters were tuned by simulation studies. The tuned PI parameters were verified by experiment, which demonstrates that the system identification and simulation studies are reliable and can reduce the manual tuning time and prevent tuning hardware wear.

Parameter identification for induction motor simulation

1974 ◽  
Vol 7 (2) ◽  
pp. 195-205 ◽  
Author(s):  
A. Bellini ◽  
A. De Carli ◽  
M. La Cava
Keyword(s):  
Parameter Identification ◽  
Induction Motor ◽  
Motor Simulation
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