华电技术 ›› 2018, Vol. 40 ›› Issue (10): 7-11.

• 研究与开发 • 上一篇    下一篇

遗传算法优化锅炉汽包水位不完全微分PID参数

  

  1. 华北电力大学,河北保定〓071033
  • 出版日期:2018-11-26 发布日期:2018-12-13

Incomplete differential PID parameters of boiler drum water level optimized by genetic algorithm

  1. North China Electric Power University,Baoding 071003, China
  • Online:2018-11-26 Published:2018-12-13

摘要:

工业锅炉汽包水位控制系统具有多扰动、非线性、滞后大的特点,为克服经典的PID控制器难适应复杂多变的锅炉汽水控制系统的缺点,确保水位在给定范围内、降低成本,保证整个网络安全运行。研究了遗传算法优化比例、积分、微分控制(PID控制)策略,并且设计了遗传算法PID控制器,然后对锅炉汽包水位进行控制,并采用不完全微分的方式减少高频干扰对系统的的影响,有效地克服经典PID控制方式的缺点。研究表明,通过MATLAB软件仿真对比证明本系统可以有效克服干扰对水位的影响,控制效果更好,具有更强的自适应能力,可维持水位在给定范围之内,对锅炉正常运行具有重要意义。

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Abstract:

The control system of drum water level of industrial boiler is of multiple disturbance, nonlinearity and great hysteresis. To overcome classic PID controller’s shortcomings which are the difficulties in adapting to the complex and variable boiler steam water control system, in guarantee the water level within given range, in reducing costs, and in guarantee the safe operation of the entire network. The optimization proportional, integral and differential control (PID control) strategy of genetic algorithm are studied and designed to control the boiler drum water level. The impacts of high frequency interference on the system arediminished by incomplete differential, which can effectively overcome the shortcomings of the classical PID control mode. Research shows that confirmed by MATLAB simulation software, the system can effectively overcome the influence of interference on water level, and improve the control as well as selfadaptability. It can maintain the water level within a given range, which is of great significance to the normal operation of the boiler.

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