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首页> 外文期刊>International journal of system control and information processing >An improved single neuron self-adaptive PID control scheme of superheated steam temperature control system
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An improved single neuron self-adaptive PID control scheme of superheated steam temperature control system

机译：过热蒸汽温度控制系统改进的单神经元自适应PID控制方案

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摘要

The control unit of superheated steam temperature of thermal power plants has poor quality, and easy over-temperature problem. In this paper, according to the single neuron adaptive controller with self-learning, strong adaptability, high robustness and fast response, an improved single neuron self-adaptive proportional-integral-derivative (PID) control scheme of superheated steam temperature control system has been presented. The proposed control scheme has two main characteristics: 1) Compared with the traditional PID control scheme, the three PID control parameters of proportional, integral, differential coefficients become a neuron adaptive control coefficient K; 2) This proposed control strategy has provided a new theoretical basis and research methods in the application of control system of superheated steam temperature. Simulation results show that the control scheme has improved the control performance of large time delay, multi-disturbance, and has reflected the strong robustness, high stability and good control quality.
机译：热电厂过热蒸汽温度控制单元质量差，易于过度的过热问题。本文根据单一神经元自适应控制器，具有自学习，强大的适应性，高稳健性和快速响应，一种改进的单一神经元自适应比例 - 积分 - 积分 - 积分 - 积分 - 积分（PID）控制方案的过热蒸汽温度控制系统已经存在提出了。所提出的控制方案具有两个主要特征：1）与传统的PID控制方案相比，三个PID控制参数比例，积分，差分系数变为神经元自适应控制系数k; 2）这一拟议的控制策略为应用过热蒸汽温度的控制系统提供了一种新的理论基础和研究方法。仿真结果表明，控制方案提高了大型时间延迟，多扰动的控制性能，反映了强大的鲁棒性，高稳定性和良好的控制质量。

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