DocumentCode :
650250
Title :
Controlling of non-minimum phase micro hydro power plant based on adaptive B-Spline neural network
Author :
Setiawan, Iwan ; Priyadi, Ardyono ; Purnomo, Mauridhi Hery
Author_Institution :
Dept. of Electr. Eng., Diponegoro Univ., Semarang, Indonesia
fYear :
2013
fDate :
7-8 Oct. 2013
Firstpage :
460
Lastpage :
464
Abstract :
Hydro power plant is a power generation system that have non-minimum phase model showing initial inverse response characteristic. For span of broad electrical load regulation, conventional non adaptive control techniques, such as PI and PID control would degrade the performance of this power generation system. To ensure the stability of Hydro power plant for severe load variations, we need a kind of controller that has adaptive capability. On the other hand, the utilization of conventional adaptive techniques such as Self Tuning Regulator and Model Reference Adaptive Controller will be diverge to control plants showing non-minimum phase mode. In this paper, the implementation of adaptive intelligence control based on B-Spline neural network along with forward controller for controlling micro hydro power plant will be presented. Based on its characteristic, this adaptive control technique could be implemented directly without any prior training phase. From the simulation studies, the proposed scheme results fast transient response to load variations compared to traditional PI control and also very stable in responding to severe disturbance.
Keywords :
adaptive control; hydroelectric power stations; neurocontrollers; power generation control; power system stability; splines (mathematics); B-Spline neural network; adaptive intelligence control; electrical load regulation; forward controller; hydro power plant stability; inverse response characteristic; load variations; nonadaptive control techniques; nonminimum phase model; power generation system; Adaptive Control; B-Spline Neural Network; Micro Hydro Power; Non-minimum Phase model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Technology and Electrical Engineering (ICITEE), 2013 International Conference on
Conference_Location :
Yogyakarta
Print_ISBN :
978-1-4799-0423-5
Type :
conf
DOI :
10.1109/ICITEED.2013.6676286
Filename :
6676286
Link To Document :
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