An SRF-PLL-Based Sensorless Vector Control Using the Predictive Deadbeat Algorithm for the Direct-Driven Permanent Magnet Synchronous Generator
This paper proposes an enhanced sensorless vector control strategy using the predictive deadbeat algorithm for a direct-driven permanent magnet synchronous generator (PMSG). To derive favorable sensorless control performances, an enhanced predictive deadbeat algorithm is proposed. First, the estimat...
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| Published in: | IEEE transactions on power electronics Vol. 29; no. 6; pp. 2837 - 2849 |
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| Main Authors: | , , , , , , |
| Format: | Journal Article |
| Language: | English |
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New York, NY
IEEE
01.06.2014
Institute of Electrical and Electronics Engineers The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| ISSN: | 0885-8993, 1941-0107 |
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| Abstract | This paper proposes an enhanced sensorless vector control strategy using the predictive deadbeat algorithm for a direct-driven permanent magnet synchronous generator (PMSG). To derive favorable sensorless control performances, an enhanced predictive deadbeat algorithm is proposed. First, the estimated back electromotive force (EMF), corrected by a cascade compensator, was put into a deadbeat controller in order to improve the system stability, while realize the null-error tracking of the stator current at the same time. Subsequently, an advance prediction of the stator current based on the Luenberger algorithm was used to compensate the one-step-delay caused by digital control. Maintaining the system stability, parameters of the controller were optimized based on discrete models in order to improve the dynamic responses and robustness against changes in generator parameters. In such cases, the proposed methodology of synchronous rotating frame phase lock loop (SRF-PLL), which applies the estimated back EMF, can observe the rotor position angle and speed without encoders, realizing the flux orientation and speed feedback regulation. Finally, the simulation and experimental results, based on a 10-kW PMSG-based direct-driven power generation system, are both shown to verify the effectiveness and feasibility of the proposed sensorless vector control strategy. |
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| AbstractList | This paper proposes an enhanced sensorless vector control strategy using the predictive deadbeat algorithm for a direct-driven permanent magnet synchronous generator (PMSG). To derive favorable sensorless control performances, an enhanced predictive deadbeat algorithm is proposed. First, the estimated back electromotive force (EMF), corrected by a cascade compensator, was put into a deadbeat controller in order to improve the system stability, while realize the null-error tracking of the stator current at the same time. Subsequently, an advance prediction of the stator current based on the Luenberger algorithm was used to compensate the one-step-delay caused by digital control. Maintaining the system stability, parameters of the controller were optimized based on discrete models in order to improve the dynamic responses and robustness against changes in generator parameters. In such cases, the proposed methodology of synchronous rotating frame phase lock loop (SRF-PLL), which applies the estimated back EMF, can observe the rotor position angle and speed without encoders, realizing the flux orientation and speed feedback regulation. Finally, the simulation and experimental results, based on a 10-kW PMSG-based direct-driven power generation system, are both shown to verify the effectiveness and feasibility of the proposed sensorless vector control strategy. [PUBLICATION ABSTRACT] This paper proposes an enhanced sensorless vector control strategy using the predictive deadbeat algorithm for a direct-driven permanent magnet synchronous generator (PMSG). To derive favorable sensorless control performances, an enhanced predictive deadbeat algorithm is proposed. First, the estimated back electromotive force (EMF), corrected by a cascade compensator, was put into a deadbeat controller in order to improve the system stability, while realize the null-error tracking of the stator current at the same time. Subsequently, an advance prediction of the stator current based on the Luenberger algorithm was used to compensate the one-step-delay caused by digital control. Maintaining the system stability, parameters of the controller were optimized based on discrete models in order to improve the dynamic responses and robustness against changes in generator parameters. In such cases, the proposed methodology of synchronous rotating frame phase lock loop (SRF-PLL), which applies the estimated back EMF, can observe the rotor position angle and speed without encoders, realizing the flux orientation and speed feedback regulation. Finally, the simulation and experimental results, based on a 10-kW PMSG-based direct-driven power generation system, are both shown to verify the effectiveness and feasibility of the proposed sensorless vector control strategy. |
| Author | Yanrun Huang Yong Kang Li Tong Yu Chen Qingjun Huang Xudong Zou ShuShuai Feng |
| Author_xml | – sequence: 1 givenname: L surname: Tong fullname: Tong, L – sequence: 2 givenname: X surname: Zou fullname: Zou, X – sequence: 3 givenname: S surname: Feng fullname: Feng, S – sequence: 4 givenname: Y surname: Chen fullname: Chen, Y – sequence: 5 givenname: Y surname: Kang fullname: Kang, Y – sequence: 6 givenname: Q surname: Huang fullname: Huang, Q – sequence: 7 givenname: Y surname: Huang fullname: Huang, Y |
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| Keywords | Performance evaluation Dead beat control Optimization synchronous rotating frame phase lock loop (SRF-PLL) Vector control predictive deadbeat control Compensator Robustness Delay time sensorless vector control Dynamic response Dynamic characteristic Permanent magnet generators Stator Coding circuit Control system Sensorless control Power electronics Electromotive force Algorithm Forecasting Rotor Phase locked loop Rotating frame Digital control Cascade compensator |
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| SubjectTerms | Algorithms Applied sciences Cascade compensator Circuit properties Circuits of signal characteristics conditioning (including delay circuits) Control systems Controllers Digital circuits Effectiveness studies Electric, optical and optoelectronic circuits Electrical engineering. Electrical power engineering Electrical machines Electricity generation Electronic circuits Electronics Electrostatic discharges Estimating techniques Exact sciences and technology Generators Mathematical analysis Mathematical models Permanent magnets Prediction algorithms predictive deadbeat control Regulation and control Rotors sensorless vector control Signal convertors Simulation Stators Synchronous synchronous rotating frame phase lock loop (SRF-PLL) Vectors Vectors (mathematics) Voltage control |
| Title | An SRF-PLL-Based Sensorless Vector Control Using the Predictive Deadbeat Algorithm for the Direct-Driven Permanent Magnet Synchronous Generator |
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