Simulation and VHDL Code for Brain Emotional Learning Based Intelligent Controller Applied to a Power System

摘要：

In this paper, a new efficient simulation of two-area power system control is proposed. From a control engineering view, the task of learning more suitable is the scope of adaptive control. We present the application of a Brain Emotional Learning Based Intelligent Controller (BELBIC) to regulate the frequency error for a two-area interconnected power system. BELBIC is based on emotional learning process in Amygdala-Orbitofrontal system of the mammalians brain. Simulation results of this controller and PID controller for two-area power system in MATLAB/SIMULINK environment show that it develops the stability control performance. Actually, simulation shows that the proposed BELBIC model for MATLAB/SIMlLINK environment works and gives acceptable results without redesigning it for each separate system. A semi-automatic method was applied to S1MULINK model for obtaining a VHDL code.

关键词： Intelligent Controller Brain Emotional Learning BELBIC simulation VHDL code load frequency power system

作者: Shirin Ale Aghaee Khosrow Amiri Zadeh

作者单位: Department of Electronic & Computer Islamic Azad University Branch of Qazvin Qazvin, Iran Department of Computer Islamic Azad University Branch of Garmsar Garmsar, Iran

会议类型: 国际会议

会议名称: 2010 International Conference on Measurement and Control Engineering(2010年IEEE测量与控制工程国际会议 ICMCE2010)

会议地点: 成都

会议语种:英文

页码: 80-84

在线出版日期: 2010-11-16（万方平台首次上网日期，不代表论文的发表时间）