Design of an Adaptive Backstepping Controller for Doubly-Fed Induction Machine Drives

Behzad Mirzaeian Dehkordi,Amir Farrokh Payam,Mohammad Naser Hashemnia,Seung-Ki Sul 전력전자학회 2009 JOURNAL OF POWER ELECTRONICS Vol.9 No.3

In this paper, a nonlinear controller is proposed for Doubly-Fed Induction Machine (DFIM) drives. The nonlinear controller is designed based on an adaptive backstepping control technique, using a fifth order model of an induction machine in the synchronous d & q axis rotating reference frame, whose d axis coincides with the space voltage vector of the main AC supply, and using the rotor current and stator flux components as state variables. The nonlinear controller can perfectly track the torque reference signal measured in the stator terminals under the condition of unity power factor regulation, in spite of the stator and rotor resistance variations. In order to make the drive system capable of operating in the motoring and generating modes below and above the synchronous speed, two level Space-Vector PWM (SV-PWM) back-to-back voltage source inverters are employed in the rotor circuit. It is confirmed through computer simulation results that the proposed control approach is effective and valid.

Robust DTC Control of Doubly-Fed Induction Machines Based on Input-Output Feedback Linearization Using Recurrent Neural Networks

Amir Farrokh Payam,Mohammad Naser Hashemnia,Jawad Faiz 전력전자학회 2011 JOURNAL OF POWER ELECTRONICS Vol.11 No.5

This paper describes a novel Direct Torque Control (DTC) method for adjustable speed Doubly-Fed Induction Machine (DFIM) drives which is supplied by a two-level Space Vector Modulation (SVM) voltage source inverter (DTC-SVM) in the rotor circuit. The inverter reference voltage vector is obtained by using input-output feedback linearization control and a DFIM model in the stator a-b axes reference frame with stator currents and rotor fluxes as state variables. Moreover, to make this nonlinear controller stable and robust to most varying electrical parameter uncertainties, a two layer recurrent Artificial Neural Network (ANN) is used to estimate a certain function which shows the machine lumped uncertainty. The overall system stability is proved by the Lyapunov theorem. It is shown that the torque and flux tracking errors as well as the updated weights of the ANN are uniformly ultimately bounded. Finally, effectiveness of the proposed control approach is shown by computer simulation results.

Rotor short‑circuited start‑up strategy for a doubly fed induction machine‑fed large‑rated variable‑speed pumped storage unit operating in pumping mode

Malathy Narayanasamy,Y. Sukhi 전력전자학회 2023 JOURNAL OF POWER ELECTRONICS Vol.23 No.11

The starting time of a large-rated variable-speed pumped storage unit (PSU) operating in pumping mode is crucial in the power balancing scenario in a modern power system because it establishes the transition period from generation to pumping modes, and vice versa, which determines the power system stability. Doubly fed induction machines (DFIM) are preferred in large-rated variable-speed PSUs (> 100 MW) because they ensure variable-speed operation through partial-rated power converters. Initiating the DFIM in pumping mode is challenging, but it is overcome by utilizing rotor-side power converters. The start-up of DFIM is preferred through short-circuiting the stator windings and supplying power to the rotor windings via power converters. However, this task can be performed through either short-circuiting the rotor or stator windings. This work detailed the field-oriented vector control strategies of the rotor short-circuited method and compared the results with the conventional stator short-circuited method in a commercial 306 MVA DFIM-fed variable-speed PSU. Results demonstrate that short-circuiting the rotor windings reduces the starting time and power consumption by 27.5% and 27%, respectively, compared with the typical starting method. This reduced starting time is preferred by the grid authorities because it improves the power system stability. Furthermore, experimental results are validated in the laboratory with a scaled-down unit of 7.5 kW DFIM.

Fault-Tolerant and Reconfiguration Control for Boost Multi-level NPC Converter Fed Doubly Fed Induction Machines

Anto Joseph,Yeongsu Bak,Sze Sing Lee,Kyo-Beum Lee 전력전자학회 2019 ICPE(ISPE)논문집 Vol.2019 No.5

Double fed induction machine (DFIM) is preferred in various industrial applications, as it provides variable speed operation with reduced power converter rating and high dynamic stability. On rotor side, back-toback voltage source converter (VSC) is act as excitation system and controls real and reactive power of the machine. Boost multi-level neutral point clamped (NPC) VSC is emerging in industrial applications due to the high dc link voltage utilization and less current THD. Full power converter redundancy in large rated VSC fed DFIM is challengeable and it is not yet employed in any practical applications such wind power generation and pumped-hydro power units. Therefore, fault-tolerant control (FTC) of VSC is mandatory for the continuous operation of unit by the project authorities of the units. This paper presents the fault tolerant and reconfiguration control approach for a boost NPC converter fed DFIM unit at open circuit faults in all controlled switches/devices. FTC during open-switch faults are investigated with the help of converter output voltage. Fault detection and isolation is achieved through the rotor currents and dc link voltage. A 2 MW DFIM is simulated in Matlab/Simulink environment to verify the operation of the proposed fault tolerant control.

Generalized Vector Control with Reactive Power Control for Brushless Doubly-Fed Induction Machines

Qiwei Duan,Shi Liu,H. Inaki Schlaberg,Teng Long 전력전자학회 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.3

In this paper, a current hysteresis control with good decoupling properties for doubly-fed brushless induction machines (BDFIMs) has been proposed based on a generalized vector model. The independent control of the reactive power and speed for BDFIMs has been achieved by controlling the d-axis and the q-axis current of the control windings (CW). The proposed vector control method has been developed for the power winding (PW) flux frame. Experimental verification of a type Y180M-4 BDFIM prototype with 1/4 pole-pairs has been presented. Evidence of its good performance has been shown through experimental results.

Generalized Vector Control with Reactive Power Control for Brushless Doubly-Fed Induction Machines

Duan, Qiwei,Liu, Shi,Schlaberg, H. Inaki,Long, Teng The Korean Institute of Power Electronics 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.3

In this paper, a current hysteresis control with good decoupling properties for doubly-fed brushless induction machines (BDFIMs) has been proposed based on a generalized vector model. The independent control of the reactive power and speed for BDFIMs has been achieved by controlling the d-axis and the q-axis current of the control windings (CW). The proposed vector control method has been developed for the power winding (PW) flux frame. Experimental verification of a type Y180M-4 BDFIM prototype with 1/4 pole-pairs has been presented. Evidence of its good performance has been shown through experimental results.

Design of an Adaptive Backstepping Controller for Doubly-Fed Induction Machine Drives

Dehkordi, Behzad Mirzaeian,Payam, Amir Farrokh,Hashemnia, Mohammad Naser,Sul, Seung-Ki The Korean Institute of Power Electronics 2009 JOURNAL OF POWER ELECTRONICS Vol.9 No.3

In this paper, a nonlinear controller is proposed for Doubly-Fed Induction Machine (DFIM) drives. The nonlinear controller is designed based on an adaptive backstepping control technique, using a fifth order model of an induction machine in the synchronous d & q axis rotating reference frame, whose d axis coincides with the space voltage vector of the main AC supply, and using the rotor current and stator flux components as state variables. The nonlinear controller can perfectly track the torque reference signal measured in the stator terminals under the condition of unity power factor regulation, in spite of the stator and rotor resistance variations. In order to make the drive system capable of operating in the motoring and generating modes below and above the synchronous speed, two level Space-Vector PWM (SV-PWM) back-to-back voltage source inverters are employed in the rotor circuit. It is confirmed through computer simulation results that the proposed control approach is effective and valid.

Robust DTC Control of Doubly-Fed Induction Machines Based on Input-Output Feedback Linearization Using Recurrent Neural Networks

Payam, Amir Farrokh,Hashemnia, Mohammad Naser,Fai, Jawad The Korean Institute of Power Electronics 2011 JOURNAL OF POWER ELECTRONICS Vol.11 No.5

This paper describes a novel Direct Torque Control (DTC) method for adjustable speed Doubly-Fed Induction Machine (DFIM) drives which is supplied by a two-level Space Vector Modulation (SVM) voltage source inverter (DTC-SVM) in the rotor circuit. The inverter reference voltage vector is obtained by using input-output feedback linearization control and a DFIM model in the stator a-b axes reference frame with stator currents and rotor fluxes as state variables. Moreover, to make this nonlinear controller stable and robust to most varying electrical parameter uncertainties, a two layer recurrent Artificial Neural Network (ANN) is used to estimate a certain function which shows the machine lumped uncertainty. The overall system stability is proved by the Lyapunov theorem. It is shown that the torque and flux tracking errors as well as the updated weights of the ANN are uniformly ultimately bounded. Finally, effectiveness of the proposed control approach is shown by computer simulation results.

Power conditioning system of Flywheel Energy Storage

Zhongwei Chen,Xudong Zou,Shanxu Duan,Huarong Wei 전력전자학회 2011 ICPE(ISPE)논문집 Vol.2011 No.5

In a Flywheel Energy Storage system (FESS), the power conditioning system is the key component of controlling power transfer between the Flywheel and the power system. The dynamics of the power conditioning system directly affect the effect of FESS in dynamic regulation of power system. In this paper, power conditioning system which is made up of a doubly-fed induction machine (DFIM) connected with flywheel, a back-to-back converter for AC excitation and an excitation vector control system is studied. The excitation control strategy is presented for FESS DFIM to improve transient stability and increase transfer capability of power systems. The proposed control method has good dynamics that can respond to the system power demand quickly and accurately. Moreover, the proposed control method has good robust characteristic and applicability to improve the performance of power conditioning system. Simulation and experiment results are performed to evaluate the performance of the proposed control method.

A Novel Energy Storage System based on Flywheel for Improving Power System Stability

Wu, Jinbo,Wen, Jinyu,Sun, Haishun,Cheng, Shijie The Korean Institute of Electrical Engineers 2011 Journal of Electrical Engineering & Technology Vol.6 No.4

In this paper, a novel flywheel energy storage device, called the flexible power conditioner, which integrates both the characteristics of the flywheel energy storage and the doubly-fed induction machine, is proposed to improve power system stability. A prototype is developed and its principle, composition, and design are described in detail. The control system is investigated and the operating characteristics are analyzed. The test results based on the prototype are presented and evaluated. The test results illustrate that the prototype meets the design requirement on power regulation and starting, and provides a cost-effective and effective means to improve power system stability.