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

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.

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

International Journal of Energetica ◽

10.47238/ijeca.v3i1.61 ◽

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.

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Sliding Mode Control of the Human Vestibular System

Volume 1: Development and Characterization of Multifunctional Materials; Modeling, Simulation and Control of Adaptive Systems; Structural Health Monitoring ◽

10.1115/smasis2012-7988 ◽

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.

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

Actuators ◽

10.3390/act10070154 ◽

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.

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Sensorless Vector Control of Induction Machines via Sliding Mode Control based Model Reference Adaptive System

2020 28th Iranian Conference on Electrical Engineering (ICEE) ◽

10.1109/icee50131.2020.9260920 ◽

2020 ◽

Author(s):

M. Vazifehdan ◽

H. Abootorabi Zarchi ◽

M. Ayaz Khoshhava

Keyword(s):

Sliding Mode Control ◽

Vector Control ◽

Adaptive System ◽

Sliding Mode ◽

Induction Machines ◽

Model Reference ◽

Mode Control ◽

Sensorless Vector Control ◽

Model Reference Adaptive System ◽

Model Reference Adaptive

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Speed Sensor-Less Indirect Vector Control System Based on a Novel Sliding Mode Control Speed Observer

Advanced Materials Research ◽

10.4028/www.scientific.net/amr.383-390.196 ◽

2011 ◽

Vol 383-390 ◽

pp. 196-201 ◽

Cited By ~ 1

Author(s):

Guo Hua Li ◽

Ji Qiang Wang

Keyword(s):

Control System ◽

Sliding Mode Control ◽

Vector Control ◽

Induction Motors ◽

Sliding Mode ◽

Fast Response ◽

Stator Current ◽

Mode Control ◽

Speed Sensor ◽

Vector Control System

Vector control is one of the most popular control techniques of induction motors. Owing to its simplicity, the indirect vector control gains increasing popularity. This paper proposes a speed sensor-less indirect vector control system of induction motors based on a novel sliding mode control (SMC) speed observer. The observer uses the stator current difference of the estimated value and the actual value to calculate the rotor speed. The simulation results show that the method has a fast response and high accuracy, and it robust to parameter variations.

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Study and Development of Robust Control Systems for Educational Drones

Makers at School, Educational Robotics and Innovative Learning Environments - Lecture Notes in Networks and Systems ◽

10.1007/978-3-030-77040-2_40 ◽

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.

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