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基于ARM9的甲醇合成塔神经网络控制系统

Neural Network Control System for Methanol Synthesis Reactor Based on ARM9
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摘要 针对甲醇合成塔温度控制具有非线性、时变性、时滞性,以及基于PLC的PID控制自适应能力差、鲁棒性不强、控制器体积大、成本高及兼容性差等问题,将神经网络与PID控制相结合,设计基于ARM9的甲醇合成温度控制系统,给出了系统的软、硬件结构。Simulink仿真结果表明:基于ARM9的神经网络PID控制器具有较好的系统稳态与动态特性,系统抗干扰能力强,鲁棒性也比较好。 Considering nonlinearity , time-varying and time-lag of temperature control system in methanol syn-thetic reactor , and the poor adaptive ability and robustness , large volume and high cost as well as poor compat-ibility in PLC-based PID control , having neural network combined with PID control was proposed to design ARM9-based temperature control system for the methanol synthesis reactor , including the system ’ s hardware and software and the model established with Simulink .The simulation result shows that ARM 9-based neural network PID controller has better stable and dynamic characteristics , and the system has strong robustness and anti-interference .
出处 《化工自动化及仪表》 CAS 2014年第7期793-796,800,共5页 Control and Instruments in Chemical Industry
关键词 甲醇合成 温度控制 ARM9 神经网络PID控制 methanol synthesis,temperature control,ARM9,neural network PID control
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