Stability improvement of matrix converter by digitally filtering the input voltages in stationary frame
- Author(s): Jiaxing Lei 1 ; Bo Zhou 1 ; Xianhui Qin 1 ; Jinliang Bian 1 ; Jiadan Wei 1
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Volume 9, Issue 4,
30 March 2016,
p.
743 – 750
DOI: 10.1049/iet-pel.2015.0163 , Print ISSN 1755-4535, Online ISSN 1755-4543
© The Institution of Engineering and Technology
Received
04/03/2015,
Accepted
02/09/2015,
Revised
24/08/2015,
Published
30/03/2016
The constant power control strategy of matrix converter (MC), which is commonly adopted in practice to suppress input disturbances, could result in system instability and oscillations of source currents and input voltages. To stabilise the system, a novel control method is proposed in this study, which is based on filtering the input voltages in stationary frame with digital high-pass filters of zero gain at the fundamental frequency. The filtered signals are injected to input currents so as to increase the input admittances for stability improvement. Since the filtered signals do not contain any fundamental frequency components, the proposed method would not affect the normal operation of MC. No matter the operation mode of MC is motoring or generating, the proposed method is always effective to improve system stability by adjusting the proportional coefficient and time constant of the digital filters. The feasibility and validity of the proposed method is verified by experimental results.
Inspec keywords: AC-AC power convertors; digital filters; matrix convertors; stability; high-pass filters; power control
Other keywords: digital input voltage filtering; digital high-pass filters; time constant adjustment; input disturbance suppression; matrix converter stability improvement; source current oscillation; zero gain; input voltage oscillation; constant power control strategy; system instability; proportional coefficient adjustment; stationary frame
Subjects: Digital signal processing; Control of electric power systems; AC-AC power convertors; Stability in control theory; Filtering methods in signal processing; Power and energy control
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