DocumentCode :
2842154
Title :
Tuning fractional order proportional integral controllers for fractional order systems
Author :
Luo, Ying ; Wang, ChunYang ; Chen, YangQuan
Author_Institution :
Dept. of Autom. Sci. & Eng., South China Univ. of Technol., Guangzhou, China
fYear :
2009
fDate :
17-19 June 2009
Firstpage :
307
Lastpage :
312
Abstract :
In this paper, two fractional order proportional integral controllers are designed to improve the performance and robustness for a class of fractional order systems which can better model many real systems such as bioengineering systems. For comparison between the fractional order proportional integral controllers and the traditional integer order PID (IOPID) controller, the IOPID controller is also designed following the same proposed tuning specifications. Unfortunately, the designed IOPID controller can not meet the required specification. However, the designed fractional order proportional integral (FOPI) and fractional order [proportional integral] (FO[PI]) controllers both can satisfy all the three specifications proposed. From the simulation results presented, it can be seen that both the FOPI and FO[PI] controllers designed work efficiently. Furthermore, we can observe that the FO[PI] controller outperforms the FOPI controller following the proposed design schemes for the fractional order systems considered.
Keywords :
control system synthesis; three-term control; time-varying systems; bioengineering systems; controllers designed; fractional order controllers tuning; fractional order systems; integer order PID controller; proportional integral controllers tuning; tuning specifications; Automatic control; Biomedical engineering; Control systems; Design engineering; Pi control; Proportional control; Robust control; Robust stability; Three-term control; Transfer functions; Fractional order system; fractional order [proportional integral] controller; fractional order proportional integral controller; integer order PID controller; robustness; tuning;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control and Decision Conference, 2009. CCDC '09. Chinese
Conference_Location :
Guilin
Print_ISBN :
978-1-4244-2722-2
Electronic_ISBN :
978-1-4244-2723-9
Type :
conf
DOI :
10.1109/CCDC.2009.5195101
Filename :
5195101
Link To Document :
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