Modeling and simulation of the double-closed loop control system of counter rotating permanent magnet brushless DC motor

2011 ◽  
Author(s):  
Jun Rong ◽  
Yiming Li
Keyword(s):  
Control System ◽  
Modeling And Simulation ◽  
Closed Loop ◽  
Brushless Dc Motor ◽  
Closed Loop Control ◽  
Loop Control ◽  
Brushless Dc ◽  
Closed Loop Control System ◽  
Loop Control System ◽  
Permanent Magnet Brushless Dc

Modeling and Simulation of BLDCM Double Closed-Loop Control System Based on Matlab

2014 ◽  
Vol 898 ◽  
pp. 878-882 ◽  
Author(s):  
Kai Yu Yang ◽  
Rui Song ◽  
Hai Dong Wu ◽  
Yan Li Zou
Keyword(s):  
Control System ◽  
Closed Loop ◽  
Dc Motor ◽  
Brushless Dc Motor ◽  
Current Loop ◽  
Closed Loop Control ◽  
Loop Control ◽  
Brushless Dc ◽  
Closed Loop Control System ◽  
Loop Control System

Based on the mathematical model of brushless DC motor, a simulation model of brushless DC motor (BLDCM) double closed-loop control system is established by using the voltage equation, the electromagnetic torque equation and the motion equation based on Matlab, then introduces the sub-modules of the controlling system in detail. PID control is used in the speed loop and hysteresis current track of PWM is used in the current loop. The reasonability and validity are testified by the simulation results and this novel method offers a new thought way for designing and debugging actual motors.

scholarly journals Closed-loop control system for well-defined oxygen supply in micro-physiological systems

2017 ◽  
Vol 3 (2) ◽  
pp. 363-366
Author(s):  
Tobias Steege ◽  
Mathias Busek ◽  
Stefan Grünzner ◽  
Andrés Fabían Lasagni ◽  
Frank Sonntag
Keyword(s):  
Control System ◽  
Oxygen Supply ◽  
Closed Loop ◽  
Microfluidic System ◽  
Closed Loop Control ◽  
Loop Control ◽  
Cell Vitality ◽  
Closed Loop Control System ◽  
Loop Control System

AbstractTo improve cell vitality, sufficient oxygen supply is an important factor. A deficiency in oxygen is called Hypoxia and can influence for example tumor growth or inflammatory processes. Hypoxia assays are usually performed with the help of animal or static human cell culture models. The main disadvantage of these methods is that the results are hardly transferable to the human physiology. Microfluidic 3D cell cultivation systems for perfused hypoxia assays may overcome this issue since they can mimic the in-vivo situation in the human body much better. Such a Hypoxia-on-a-Chip system was recently developed. The chip system consists of several individually laser-structured layers which are bonded using a hot press or chemical treatment. Oxygen sensing spots are integrated into the system which can be monitored continuously with an optical sensor by means of fluorescence lifetime detection.Hereby presented is the developed hard- and software requiered to control the oxygen content within this microfluidic system. This system forms a closed-loop control system which is parameterized and evaluated.

Adaptive synchronization of uncertain fractional-order chaotic systems using sliding mode control techniques

2019 ◽  
Vol 234 (1) ◽  
pp. 3-9 ◽  
Author(s):  
Bahram Yaghooti ◽  
Ali Siahi Shadbad ◽  
Kaveh Safavi ◽  
Hassan Salarieh
Keyword(s):  
Control System ◽  
Sliding Mode Control ◽  
Fractional Order ◽  
Chaotic Systems ◽  
Closed Loop ◽  
Sliding Mode ◽  
Closed Loop Control ◽  
Loop Control ◽  
Closed Loop Control System ◽  
Loop Control System

In this article, an adaptive nonlinear controller is designed to synchronize two uncertain fractional-order chaotic systems using fractional-order sliding mode control. The controller structure and adaptation laws are chosen such that asymptotic stability of the closed-loop control system is guaranteed. The adaptation laws are being calculated from a proper sliding surface using the Lyapunov stability theory. This method guarantees the closed-loop control system robustness against the system uncertainties and external disturbances. Eventually, the presented method is used to synchronize two fractional-order gyro and Duffing systems, and the numerical simulation results demonstrate the effectiveness of this method.

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