scholarly journals Control with Sliding Mode of a Five-Phase Series-Connected Two-asynchronous Motor Drive

2018 ◽  
Vol 3 (1) ◽  
pp. 18
Author(s):  
Omar Zouaid ◽  
Lazhari Nezli
Keyword(s):  
Mathematical Model ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Asynchronous Motor ◽  
Induction Machine ◽  
Mode Control ◽  
Asynchronous Machines ◽  
Park Transformation ◽  
The Mathematical Model ◽  
Two Machines

In this paper, we study sliding mode control of series-connected five-phase two asynchronous machines supplied with a three levels inverter. After presentation of multiphase machines, we worked out the mathematical model of five phase asynchronous machine supplied with voltage inverter. Application of Park transformation reduces considerably the mathematical model of machine. After, we applied vector control and sliding mode control to the five-phase induction machine. After that, we study a multi-machine system, which comport five-phase two asynchronous machines supplied with a single voltage inverter.In the last, we had the sliding mode control of series-connected five-phase two asynchronous machines. Simulations are presented to show the effectiveness of the control strategy. We observe that an appropriate transposition of phase’s order permits an independent control of two machines.

scholarly journals Sliding mode control of a Five-Phase Series- Connected Two-Motor Drive

2021 ◽  
Vol 1 (1) ◽  
pp. 59-68
Author(s):  
Lazhari NEZLI ◽  
Omar Zouaid
Keyword(s):  
Mathematical Model ◽  
Sliding Mode Control ◽  
Vector Control ◽  
Sliding Mode ◽  
Induction Machine ◽  
Voltage Inverter ◽  
Mode Control ◽  
Asynchronous Machines ◽  
Park Transformation ◽  
The Mathematical Model

In this work, we study vector control and sliding mode control of series-connected five-phase two asynchronous machines supplied with a three levels inverter. After presentation of multiphase machines, we worked out the mathematical model of five phase asynchronous machine supplied with voltage inverter. Application of Park transformation reduces considerably the mathematical model of machine. After, we applied vector control and sliding mode control to the five-phase induction machine. After that, we study a multi-machine system which comport five-phase two asynchronous machines supplied with a single voltage inverter. In the last, we had the independent vector control and the sliding mode control of series-connected five-phase two asynchronous machines. We observe that an appropriate transposition of phase’s order permits an independent control of two machines.

Sliding Mode Control of the Human Vestibular System

2012 ◽  
Author(s):  
Rachael McCarty ◽  
S. Nima Mahmoodi ◽  
Keith Williams
Keyword(s):  
Mathematical Model ◽  
Sliding Mode Control ◽  
Vestibular System ◽  
Head Movement ◽  
Sliding Mode ◽  
Sliding Mode Controller ◽  
Control Parameters ◽  
Mode Control ◽  
The Mathematical Model ◽  
The Brain

An original sliding mode controller is designed, based on an existing mathematical model for response control of the human vestibular system. The human vestibular system is located in the inner ear and significantly contributes to the functions of detecting head motion, maintaining balance and posture, and realizing gaze stabilization. The vestibular system sends signals to the brain to tell it how the head and body are moving, and the brain reacts by changing eye position accordingly. The nonlinearities of the vestibular system are not completely understood. The biggest nonlinearity is the nystagmus, a bouncing of the eyes to compensate for quick head movement. Another nonlinearity is that the quick phase does not start until head movement reaches a certain frequency. Considering these nonlinearities as well as the uncertainties of the system, sliding mode control a good choice for controlling the system. Several mathematical models of the human vestibular system are considered for use in the control design. The best model of those considered is chosen based on the models’ consideration of nonlinearities and their levels of complexity. The mathematical model used in this paper is a nonlinear transfer function. The output is controlled with a robust sliding mode controller. Results demonstrate the need to increase control parameters as frequency of the sinusoidal input increases to minimize overshoot error. However, since the human head cannot tolerate an infinitely large frequency input, control parameters also will necessarily be limited. Therefore, results show that the designed sliding mode robust controller is an effective mechanism for controlling the mathematical model of the human vestibular system.

scholarly journals Backstepping Sliding-Mode Control of Piezoelectric Single-Piston Pump-Controlled Actuator

Actuators ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 154
Author(s):  
Bin Wang ◽  
Pengda Ren ◽  
Xinhao Huang
Keyword(s):  
Sliding Mode Control ◽  
Position Control ◽  
Control Method ◽  
Sliding Mode ◽  
Piezoelectric Pump ◽  
Mode Control ◽  
Control Precision ◽  
Backstepping Sliding Mode Control ◽  
Actuator System ◽  
The Mathematical Model

A piston piezoelectric (PZT) pump has many advantages for the use of light actuators. How to deal with the contradiction between the intermittent oil supplying and position control precision is essential when designing the controller. In order to accurately control the output of the actuator, a backstepping sliding-mode control method based on the Lyapunov function is introduced, and the controller is designed on the basis of establishing the mathematical model of the system. The simulation results show that, compared with fuzzy PID and ordinary sliding-mode control, backstepping sliding-mode control has a stronger anti-jamming ability and tracking performance, and improves the control accuracy and stability of the piezoelectric pump-controlled actuator system.

scholarly journals Study and Development of Robust Control Systems for Educational Drones

2021 ◽  
pp. 301-308
Author(s):  
Maria Letizia Corradini ◽  
Gianluca Ippoliti ◽  
Giuseppe Orlando ◽  
Simone Terramani
Keyword(s):  
Mathematical Model ◽  
Robust Control ◽  
Control Theory ◽  
Sliding Mode Control ◽  
Informal Education ◽  
Sliding Mode ◽  
Educational Robotics ◽  
Altitude Control ◽  
The Mathematical Model ◽  
Robust Control Systems

AbstractThis paper considers the problem of attitude and altitude control of quadrotors using the sliding mode control theory. The mathematical model of the quadrotor is derived using the Euler-Newton formalism. The sliding-mode is applied to the Parrot Mambo minidrone, which is a strong example of bringing educational robotics to formal (MATLAB, Python, JavaScript), non-formal (Tynker, Blockly, Swift Playground) and informal education. The control considered shows good performance and enhanced robustness.

Sliding mode control in a mathematical model to chemoimmunotherapy: The occurrence of typical singularities

2020 ◽  
Vol 387 ◽  
pp. 124782 ◽  
Author(s):  
Diego S. Rodrigues ◽  
Paulo F.A. Mancera ◽  
Tiago Carvalho ◽  
Luiz Fernando Gonçalves
Keyword(s):  
Mathematical Model ◽  
Sliding Mode Control ◽  
Sliding Mode ◽  
Mode Control

scholarly journals Suppression of drill-string stick–slip vibration by sliding mode control: Numerical and experimental studies

2018 ◽  
Vol 29 (5) ◽  
pp. 805-825 ◽  
Author(s):  
VAHID VAZIRI ◽  
MARCIN KAPITANIAK ◽  
MARIAN WIERCIGROCH
Keyword(s):  
Mathematical Model ◽  
Sliding Mode Control ◽  
Close Agreement ◽  
Sliding Mode ◽  
Drill String ◽  
Numerical Results ◽  
Physical Parameters ◽  
Parameter Uncertainties ◽  
Stick Slip ◽  
Mode Control

We investigate experimentally and numerically suppression of drill-string torsional vibration while drilling by using a sliding mode control. The experiments are conducted on the novel experimental drill-string dynamics rig developed at the University of Aberdeen (Wiercigroch, M., 2010, Modelling and Analysis of BHA and Drill-string Vibrations) and using commercial Polycrystalline Diamond Compact (PDC) drill-bits and rock-samples. A mathematical model of the experimental setup, which takes into account the dynamics of the drill-string and the driving motor, is constructed. Physical parameters of the experimental rig are identified in order to calibrate the mathematical model and consequently to ensure robust predictions and a close agreement between experimental and numerical results for stick–slip vibration is shown. Then, a sliding mode control method is employed to suppress stick–slip vibration. A special attention is paid to prove the Lyapunov stability of the controller in presence of model parameter uncertainties by defining a robust Lyapunov function. Again experimental and numerical results for the control cases are in a close agreement. Stick–slip vibration is eliminated and a significant reduction in vibration amplitude has been observed when using the sliding controller.

Cascade sliding mode control of a field oriented induction machine drive

1999 ◽  
Vol 7 (3) ◽  
pp. 217-225 ◽  
Author(s):  
M. O. Mahmoudi ◽  
N. Madani ◽  
M. F. Benkhoris ◽  
F. Boudjema
Keyword(s):  
Sliding Mode Control ◽  
Sliding Mode ◽  
Induction Machine ◽  
Mode Control ◽  
Machine Drive ◽  
Induction Machine Drive
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