Paper Info
Title
Auto-tuning fuzzy PD control scheme for output voltage control of three-phase Z-source inverter
Abstract
This paper proposes an auto-tuning fuzzy PD controller to control the output voltage of a three-phase Z-source inverter (ZSI). The proposed scheme adjusts the proportional and differential coefficients (Kp and Kd) in real time in order to find the most suitable Kp and Kd for PD controller and to simplify the controller design. The proposed scheme is verified the validity by co-simulation in PSIM and MATLAB/SIMULINK under the disturbance condition of both load step change and input DC voltage variation in Z-source inverter, and has compared with the conventional PID control scheme. The simulation results involve the comparison of three-phase output voltage, Z-network capacitor voltage and dc-link peak value which can directly reflect the three-phase output voltage quality. By those analysis and comparison, the availability of the proposed method in output voltage quality improving has been verified. Compared with conventional PID method, the proposed method showed a more effective and robust control performance for coping with the severe disturbance conditions.
Year
DOI
Venue
2012
10.1109/ISIE.2012.6237088
ISIE
Keywords
Field
DocType
pd control,control system synthesis,fuzzy control,invertors,power capacitors,power supply quality,robust control,voltage control,dc-link peak value,matlab-simulink simulation,pid control scheme,psim simulation,z-network capacitor voltage,autotuning fuzzy pd control scheme,controller design,differential coefficient adjustment,input dc voltage variation,load step change,output voltage control,proportional coefficient adjustment,three-phase z-source inverter,three-phase zsi,three-phase output voltage quality,z-source inverter,auto-tuning,dynamic compensation,fuzzy,load change,real time,niobium,capacitors,pid control,quality improvement,mathematical model
Inverter,Capacitor,PID controller,Control theory,Voltage,Z-source inverter,Control engineering,Three-phase,Engineering,Fuzzy control system,Robust control
Conference
ISSN
ISBN
Citations 
2163-5137 E-ISBN : 978-1-4673-0157-2
978-1-4673-0157-2
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Yan-Jun Wu100.34
Young-Gook Jung251.74
Young-Cheol Lim3449.56