1. 西安交通大学系统工程研究所,西安,710049
2. 西安理工大学水利水电学院,西安,710048
网络首发:2007-10-10,
纸质出版:2007
移动端阅览
余向阳 1, 2, 杜小宁 1, 等. 双模糊免疫比例积分微分下的水力发电机组调速器研究[J]. 西安交通大学学报, 2007,41(10):1229-1232.
余向阳 1, 2, 杜小宁 1, et al. Study on PID Hydraulic Turbine Governor with Double Fuzzy Immune Algorithm[J]. 2007, 41(10): 1229-1232.
针对一般水力发电机组调速器不能根据系统的动态过程自动调整比例、微分、积分增益的缺点
以水轮机调速器为控制对象
提出了一种基于双模糊免疫比例积分微分(PID)控制算法.该方法在常规免疫PID算法的调节比例增益的基础上
将微分增益调节系统中的采样时刻偏差的微分作为抗原数量
建立了调节微分增益的模糊免疫系统.采用2个模糊免疫系统分别调节比例、微分增益
并通过模糊推理求解积分参数的变化量.仿真实验表明
所提算法在系统设计工况、系统参数摄动及外部干扰的情况下
能将水力发电机组的超调量降低28%
调节时间缩短5%.
In order to overcome the flaw of conventional immune PID algorithm that only proportional gain is adjusted by the immune system
a new double fuzzy immune PID control method based on the common immune PID is proposed taking a hydraulic turbine governor as an example. Inthe method in addition to the regulation of proportional gain in conventional immune PID algorithm
a fuzzy immune system for adjusting derivative gain is created by taking the derivative of sampling time deviation in derivative gain regulation system as the quantity of antigens. Two fuzzy immune systems are used to regulate the proportional gain and derivative gain respectively and the change of the integral gain is derived by fuzzy reasoning. The simulation result shows that the overshoot of the hydraulic turbine governor is reduced by 28% and setting time is shortened by 5% under the designed system work condition
parameters perturbation and external disturbances.
Mudi R K, Pal N R. A robust self-tuning scheme for PI- and PD-type fuzzy controllers [J]. IEEE Transactions on Fuzzy Systems, 1999,7(1):2-16.
南海鹏. 基于遗传算法的水轮机智能PID调速器研究[J]. 水力发电学报, 2004,23(1):107-112.
Nan Haipeng. A study of intelligent PID hydraulic turbine governor based on genetic algorithms [J]. Journal of Hydroelectric Engineering,2004,23(1):107-112.
Yesil E, Guzelkaya M, Eksin I. Self tuning fuzzy PID type load and frequency controller [J].Energy Conversion and Management, 2004, 45(3):377-390.
Huang S N, Tan K K, Lee T H. A combined PID/adaptive controller for a class of nonlinear systems [J]. Automatica, 2001,37(4):611-618.
Xu Changbo, Liu Congcong, Bi Zhenfu, et al. PID self-tuning immune fuzzy control of steam temperature control system in fossil-fired power plant [C]∥Proceedings of the 6th World Congress on Intelligent Control and Automation. Piscataway, USA: IEEE, 2006:3973-3977.
Kim D H. Tuning of PID controller using gain/phase margin and immune algorithm [C]∥2005 IEEE Mid-Summer Workshop on Soft Computing in Industrial Applications. Piscataway, USA: IEEE, 2005:69-74.
谈英姿,沈炯,吕振中. 免疫PID控制器在汽温控制系统中的应用研究 [J]. 中国电机工程学报,2002,22(10):148-152.
Tan Yingzi, Shen Jiong, Lu Zhenzhong.Study of immune PID controller for superheated steam temperature control system [J]. Proceedings of the Chinese Society for Electrical Engineering, 2002, 22(10):148-152.
高宪文,赵亚平. 焦炉模糊免疫自适应PID控制的应用研究 [J]. 控制与决策,2005,20(12):1346-1349.
Gao Xianwen, Zhao Yaping. Application research on fuzzy immune adaptive PID control in coke oven [J]. Control and Decision, 2005, 20(12):1346-1349.
0
浏览量
5
下载量
1
CSCD
关联资源
相关文章
相关作者
相关机构
京公网安备11010802024621