摘要
针对油田回注水系统中余氯控制对象具有非线性、大时滞和时变性等特点,以及难以建立数学模型的现状,介绍了一种基于自适应Smith的模糊PID控制方案。利用模糊控制,实现对PID 3个参数的自整定;采用Smith预估器对加氯控制系统的滞后进行补偿,结合模型参考自适应算法,弥补Smith控制器对模型的依赖性。仿真结果表明,该方案能有效提高余氯的控制效果,增强了系统的鲁棒性及适应参数变化的能力。
Aiming at the characteristics of object in residual Chlorine control, i. e. , nonlinearity, large time delay and time-varying, etc. , and the difficulty to establish the model for the process of oilfield reinjection water system, a fuzzy PID control scheme based on adaptive Smith prediction is introduced. The self - tuning of three of the PID parameters are implemented by using fuzzy control; and the time lag of Chlorination control system is compensated with Smith predictor, combining with the adaptive algorithm of reference model, the dependence of Smith controller upon the model is remedied. The simulation results show that the control effect of residual Chlorine can be effectively improved by this control scheme, the robustness and the capability of the system to adapt the changes in the parameters are enhanced.
出处
《自动化仪表》
CAS
2016年第6期75-78,共4页
Process Automation Instrumentation
基金
国家自然科学基金资助项目(编号:61174106)
武汉科技大学大学生科技创新基金资助项目(编号:14ZRC149)