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Boiler Optimized Combustion Control Strategy Based on GA PID Neural Network

机译:基于GA PID神经网络的锅炉优化燃烧控制策略。

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According to the combustion control system of industry boiler with large time delay and nonlinear, a kind of combustion system of industry boiler based on GA PID neural network controller design method is proposed in this paper. The boiler model is given and the comparison is made between GA PID neural network controller and the traditional PID controller. The simulation results indicate that the new controller has good performance of strong robustness and disturbance resisting ability than traditional PID controller.
机译:针对具有较大时滞和非线性的工业锅炉燃烧控制系统,提出了一种基于GA PID神经网络控制器设计方法的工业锅炉燃烧系统。给出了锅炉模型,并对GA PID神经网络控制器与传统的PID控制器进行了比较。仿真结果表明,与传统的PID控制器相比,该新型控制器具有较强的鲁棒性和抗干扰能力。

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