Inertia identification for the speed observer of the low speed control of induction machines

1996 ◽  
Vol 32 (6) ◽  
pp. 1371-1379 ◽  
Author(s):  
Nam-Joon Kim ◽  
Hee-Sung Moon ◽  
Dong-Seok Hyun
Keyword(s):  
Speed Control ◽  
Induction Machines ◽  
Low Speed

scholarly journals Design and Fabrication of Two Step Speed Control of a Cylinder Circuit using Pneumatics

2019 ◽  
Vol 8 (6S2) ◽  
pp. 512-516
Keyword(s):  
Flow Control ◽  
High Speed ◽  
Air Flow ◽  
Control Valve ◽  
Speed Control ◽  
Flow Control Valve ◽  
Push Button ◽  
Low Speed ◽  
Flow Through

The main aim of our project is to design and fabrication of pneumatic two step speed control of a cylinder. Initially the flow from the FRL retracts the cylinder when the push button is in its spring offset position. When it is pushed the flow pilots actuate. The air passes through the flow control and shuttle valve. Then the cylinder extends with high speed as the valve allows more air to enter the cylinder. When the piston reaches the position it operates the cam push button and pilot air flow through this and actuate 5/2 pilot operated valve and reaches flow control valve which permits less air. Then the flow through enters the shuttle valve to cylinder and allows the cylinder to extend at relatively low speed. At the end of extension stroke deactivating push button retracts the cylinder. Thus the speed of cylinder is controlled and project can be achieved

A Novel Fuzzy Adaptive Speed Estimator for Space Vector Modulated DTFC of AC Drives

2011 ◽  
Vol 403-408 ◽  
pp. 4850-4858
Author(s):  
Jagadish H. Pujar ◽  
S. F. Kodad
Keyword(s):  
Fuzzy Control ◽  
Adaptive Systems ◽  
Dynamic Performance ◽  
Research Work ◽  
Speed Control ◽  
Adaptation Mechanism ◽  
Low Speed ◽  
Ac Drives ◽  
Control Scheme ◽  
Speed Estimator

In this paper a novel sensorless speed control scheme of Induction Motor (IM) by means of Direct Torque Fuzzy Control (DTFC), PI-type fuzzy speed regulator and fuzzy based Model Reference Adaptive Systems (MRAS) speed estimator strategies has been proposed, which seems to be a boom in sensorless speed control schemes of AC drives. Normally, the conventional sensorless speed control performance of IM drive deteriorates at low speed. Hence the attention has been focused to improve the performance of the IM drive at low speed range as well, by implementing fuzzy control strategies. So, this research work describes a novel adaptive fuzzy based speed estimation mechanism which replaces the conventional PI controller used in MRAS adaptation mechanism. The proposed scheme is validated through extensive numerical simulations on MATLAB. The simulated results signify that the proposed control scheme provides satisfactory high dynamic performance and robustness during low speed operations of IM drive compare to conventional sensorless speed estimator of DTFC scheme.

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