DocumentCode :
2424189
Title :
Internal model control strategy for SPWM inverter based on dynamic matrix control algorithm
Author :
Yang, Mingjie ; Cao, Jianan ; Yu, Min ; Sun, Jin
Author_Institution :
Sch. of Electr. Eng., Xi´´an Jiaotong Univ., Xi´´an, China
fYear :
2009
fDate :
17-20 May 2009
Firstpage :
1752
Lastpage :
1756
Abstract :
It´s difficult for digitalized SPWM inverter to obtain high quality sine waveform and strong robustness since its time-delay phenomenon and load parameter uncertainty using the traditional control strategies. In this paper, internal model control strategy based on dynamic matrix control algorithm is proposed as a new solution. It´s also proved that this new control strategy is suitable for the system with time-delay phenomenon, external disturbance and load parameter uncertainty; in addition, the reference signal is inconstant. Further more, because of its simplicity, this algorithm can be used for real-time controlling system where the speediness is critical. A single closed-loop SPWM inverter is designed using the proposed control algorithm to achieve accurate control. Then, robustness and performance in rejection to disturbance are depicted. Finally, simulation and experimental results illustrate that the control algorithm can overcome external disturbance and load parameter uncertainty, and SPWM inverter can achieve good robustness, steady-state accuracy, and fast dynamic performance.
Keywords :
PWM invertors; power system control; SPWM inverter; dynamic matrix control algorithm; fast dynamic performance; high quality sine waveform; internal model control strategy; load parameter uncertainty; steady-state accuracy; time-delay phenomenon; traditional control strategies; Control systems; Force control; Heuristic algorithms; Inverters; Open loop systems; Predictive models; Robust control; Sampling methods; Sliding mode control; Uncertain systems;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Motion Control Conference, 2009. IPEMC '09. IEEE 6th International
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3556-2
Electronic_ISBN :
978-1-4244-3557-9
Type :
conf
DOI :
10.1109/IPEMC.2009.5157676
Filename :
5157676
Link To Document :
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