Robust QFT-based control of DTC-speed loop of an induction motor under different load conditionsᅢユ ᅢユ

نویسندگان

  • Luis Ibarra
  • Pedro Ponce
  • Arturo Molina
چکیده

Electric AC drives in manufacturing processes are well known and extensively studied. Speed loops can be commonly constructed through a decoupling method like Direct Torque Control (DTC) or Field Oriented Control (FOC) and a PID controller, which lacks of robustness towards torque variations. In this work a robust speed controller is incorporated to a DTC; its robustness is applied to the settling time of the speed when the system is subjected to different load conditions, which vary from a low value to nearly its maximum. DTC-speed loop is linearly modeled through least squares identification method and its uncertainties are overcome through Quantitative Feedback Theory (QFT). Control objectives are achieved and simulated results are presented ogether with a traditional PI controller perspective.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Current Limitation and Speed Drop Minimization in Optimal-Efficiency of Induction Motors

In conventional direct torque control (DTC), the stator flux is usually kept constant by controlling the x-axis component of the stator voltage in the stator flux reference frame. The torque is then controlled by the y-axis component of stator voltage. In this scenario, the stator current does not exceed its permissible value. However, in the so-called optimal efficiency mode, the induction mot...

متن کامل

Robust Backstepping Control of Induction Motor Drives Using Artificial Neural Networks and Sliding Mode Flux Observers

In this paper, using the three-phase induction motor fifth order model in a stationary twoaxis reference frame with stator current and rotor flux as state variables, a conventional backsteppingcontroller is first designed for speed and rotor flux control of an induction motor drive. Then in orderto make the control system stable and robust against all electromechanical parameter uncertainties a...

متن کامل

Robust Controller Design Based-on Aerodynamic Load Simulator Identification Driven by PMSM for Hardware-in-the-Loop Simulations

Aerodynamic load simulators generate the required time varying load to test the actuator’s performance in the laboratory. Electric Load Simulator (ELS) as one of variety of the dynamic load simulators should follows the rotation of the Under Test Actuator (UTA) and applies the desired torque to UTA’s rotor at the same time. In such a situation, a very large torque is imposed to the ELS from the...

متن کامل

Seven-Level Direct Torque Control of Induction Motor Based on Artificial Neural Networks with Regulation Speed Using Fuzzy PI Controller

In this paper, the author proposes a sensorless direct torque control (DTC) of an induction motor (IM) fed by seven-level NPC inverter using artificial neural networks (ANN) and fuzzy logic controller. Fuzzy PI controller is used for controlling the rotor speed and ANN applied in switching select stator voltage. The control method proposed in this paper can reduce the torque, stator flux and to...

متن کامل

Sensorless Speed Control System Using a Neural Network

Abstract: A robust adaptive speed sensorless induction motor direct torque control (DTC) using a neural network (NN) is presented in this paper. The inherent lumped uncertainties of the induction motor DTC system such as parametric uncertainty, external load disturbance and unmodeled dynamics are approximated by the NN. An additional robust control term is introduced to compensate for the recon...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016