摘要
水位控制系统性能的优劣,对提高电厂功率机组的效率和延长使用寿命具有重要作用,若系统没有得到定期维护会造成重大的经济损失。带遗忘因子的最小方差算法是基于过程数据的性能评估方法,其评估结果具有实时性,为控制系统的维护提供了可靠依据。通过对海丰电厂火电机组低加水位控制回路进行的性能评估,验证了算法的时变有效性。
The performance of water level control system plays an important role in improving the efficiency and prolonging the service life of the power plant. If the system is not maintained regularly, huge economic losses may resuit. The least variance algorithm with forgetting factor is a performance assessment method based on process data, and the result of the evaluation is real - time, which provides a reliable basis for the maintenance of the control system. The performance assessment of the low water level control loop of thermal power units in Haifeng power plant is carried out, which verifies the time varying effectiveness of the algorithm.
出处
《电子科技》
2017年第5期40-42,共3页
Electronic Science and Technology
关键词
控制系统性能评估
最小方差
AR模型
水位控制
遗忘因子
control loop performance assessment
minimum variance
auto regressive model
water level control
forgetting factor
