| 静止无功补偿器的神经元生物智能电压控制仿真 |
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| 引用本文： | 周晓华,李振强,王荔芳,罗安伍. 静止无功补偿器的神经元生物智能电压控制仿真[J]. 广西工学院学报, 2013, 0(4): 66-70 |
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| 作者姓名： | 周晓华 李振强 王荔芳 罗安伍 |
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| 作者单位： | [1]广西科技大学电气与信息工程学院,广西柳州545006 [2]昆明学院自动控制与机械工程学院,云南昆明650214 [3]广西水利电力职业技术学院电力工程系,广西南宁530105 |
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| 基金项目： | 广西自然科学基金（2013GXNSFCA019020）;广西教育厅科研项目（2013LX084）资助. |
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| 摘 要： | 为改善静止无功补偿器传统PID电压调节器的动态调节效果．增强其自适应能力，提出了一种基于神经元控制双层结构生物智能控制器的设计方法，其一级控制单元采用神经元控制，二级控制单元采用传统PID控制，神经元控制器根据实时误差动态调节PID控制器输人的给定值以提高控制效果．采用MATIAB中S—function模块并结合S一函数编程方法建立了控制器的仿真模型。然后用其替代静止无功补偿器控制系统中的P1D电压调节器．仿真结果表明：基于神经元的生物智能控制电压调节器能快速、灵活地调节电压，维持系统电压稳定．
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| 关 键 词： | 静止无功补偿器 生物智能控制 神经元控制 电压调节器 |
Simulation of biological intelligence voltage control based on neuron adaptive controller for SVC |
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| ZHOU Xiao-hua,LI Zhen-qiang,WANG Li-fang,LUO An-wu. Simulation of biological intelligence voltage control based on neuron adaptive controller for SVC[J]. Journal of Guangxi University of Technology, 2013, 0(4): 66-70 |
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| Authors: | ZHOU Xiao-hua LI Zhen-qiang WANG Li-fang LUO An-wu |
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| Affiliation: | 1.College of Electrical and Information Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China; 2.School of Automatic Control and Mechanical Engineering, Kunming University, Kunming 650214, China; 3. Department of Electric Power Engineering, Guangxi College of Water Resources and Electric Power) |
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| Abstract: | In order to improve dynamic regulation effect of traditional PID voltage regulator for SVC and enhance its adaptive capacity, a design method of two-level biological intelligence controller based on neuron adaptive control was proposed. The master control unit and the secondary control unit of the biological intelligent controller were designed using neuron adaptive control and conventional PID control. The neuron adaptive controller can adjust dynamically the set-point of PID controller according to the real-time control error to improve control effect. The simulation model of biological intelligence controller was built by using S-function module and programming method based on S-function in MATLAB, then the conventional PID voltage regulator of SVC control system was replaced by it. The simulation results show that the voltage regulator based on biological Intelligence controller can adjust quickly and flexibly the voltage to maintain stabilization of system voltage. |
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| Keywords: | static var compensator （SVC） biological intelligence control neuron adaptive controller voltage regulator |
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