摘要
针对多效逆流蒸发工艺中液位非线性、大惯性和时滞性的特点,将BP神经网络与增量式PID算法相结合,以LabVIEW为开发平台,实现了多效逆流蒸发过程液位控制的动态仿真。基于物料衡算和热量衡算,建立三效逆流蒸发液位的数学模型,通过液位仿真证明基于LabVIEW实现BP神经网络PID控制系统在多效蒸发液位控制中具有良好的自适应性和鲁棒性。
Aiming at liquid level control' s non-linearity, large delay and time lag of the multi-effect countercurrent evaporation process, having back propagation neural network(BPNN) combined with incremental PID algorithm and the LabVIEW taken as development platform to dynamically simulate the level control of multieffect countercurrent evaporation process was implemented, including establishment of the mathematical model for three-effect countercurrent evaporation level based on material balance and heat balance. Simulating the liquid level proves both adaptivity and robustness of this BPNN-based PID control system in liquid level control of the multi-effect evaporation process.
作者
李菊
张雷
LI Ju ZHANG Lei(State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum Universit)
出处
《化工自动化及仪表》
CAS
2017年第7期667-672,692,共7页
Control and Instruments in Chemical Industry