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机构地区:[1]安徽工业大学电气信息与工程学院,安徽马鞍山243032
出 处:《安徽工业大学学报(自然科学版)》2014年第4期395-399,共5页Journal of Anhui University of Technology(Natural Science)
基 金:安徽省教育厅自然科学研究项目(KJ2008B104)
摘 要:针对焦炉集气管压力控制系统具有强干扰、非线性时变、滞后等特点,设计基于最小二乘支持向量机的内模控制(Least Squares Support Vector Machines-Internal Model Control,简称LSSVM-IMC)与非线性PID控制(Nonlinear PID control简称NCPID)相结合的复合切换控制策略。将系统不同工况分开考虑,根据不同工况采用不同的控制算法。在正常工况下采用LSSVM-IMC算法对系统进行细调,以抑制未知干扰的影响,提高控制精度;在非正常工况下,采用NC-PID算法对系统进行粗调,使得系统在短暂时间内快速脱离高压或低压状态。仿真结果表明该控制策略不仅提高了系统的快速调节能力和稳态精度,而且增强了系统的鲁棒性。A switch control strategy which is based on Least Squares Support Vector Machines-Internal Model Control(LSSVM-IMC) and Nonlinear PID control(NC-PID) was designed according to the characteristics of the gas collector pressure system in coke oven, such as nonlinearity, time-variant, stochastic disturbance etc. The whole process is divided into two parts based on the different working conditions, and with different controlling methods. Under normal circumstance, the LSSVM-IMC algorithm is carried for the fine tuning to inhibit the influence of unknown interference,and then it improves the accuracy of the system. Meanwhile, the NC-PID algorithm is taken for the coarse tuning under abnormal circumstance to make sure the control system stay away from the state of low voltage or high voltage quickly in a short period of time. The simulation results show that the control strategy can improve the rapidity, accuracy and robustness of the system.
关 键 词:集气管压力 最小二乘支持向量机 内模控制 非线性PID控制
分 类 号:TP229[自动化与计算机技术—检测技术与自动化装置]
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