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机构地区:[1]浙江浙能兰溪发电有限责任公司,浙江金华321100
出 处:《电力系统装备》2024年第3期44-46,共3页Electric Power System Equipment
摘 要:由于现有的控制方法稳态误差大,抗干扰能力差,为此研究基于模糊PID算法的火电厂输煤系统远程控制方法。将输煤系统定子电压作为模型的输入变量,在两相旋转坐标系中建立等效控制模型。对于输入数据进行预处理,使得输入数据和输出数据零均值化。运用最小二乘法对模型的参数进行辨识获得更为合理的控制模型。建立模糊规则表,当输入变量与输出变量之间存在偏差时,需要对偏差进行消除,防止振荡产生。将状态变量输入到矩阵中,能够输出相应的控制规则。设计DG-PID控制器自动产生模糊控制规则,设定调节参数,计算控制策略。将结果代入上述模型中适度调整PID参数,最终达到控制的目的。实验结果表明,在系统添加扰动前,实验组的稳态误差为0%,在控制器的控制下恢复到稳定状态,达到较好的优化效果;在添加扰动后,实验组在仿真时间为1500 s时达到设定值,具有较强的抗干扰能力,确保系统能够正常运行。Due to the large steady-state error and poor anti-interference ability of existing control methods,a remote control method for coal conveying systems in thermal power plants based on fuzzy PID algorithm is studied.Using the stator voltage of the coal conveying system as the input variable of the model,establish an equivalent control model in a two-phase rotating coordinate system.Preprocess the input data to zero mean the input and output data.Use the least squares method to identify the parameters of the model and obtain a more reasonable control model.Establish a fuzzy rule table,and when there is a deviation between the input variable and the output variable,it is necessary to eliminate the deviation to prevent oscillation.Inputting state variables into a matrix can output corresponding control rules.Design a DG-PID controller to automatically generate fuzzy control rules,set adjustment parameters,and calculate control strategies.By incorporating the results into the above model and adjusting the PID parameters Appropriately,the ultimate goal of control is achieved.The experimental results show that before adding disturbances to the system,the steady-state error of the experimental group was 0%,and it was restored to a stable state under the control of the controller,achieving good optimization results;After adding disturbance,the experimental group reached the set value at a simulation time of 1500 s,demonstrating strong antiinterference ability to ensure the normal operation of the system.
分 类 号:TP31[自动化与计算机技术—计算机软件与理论]
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