基于时间模式傅里叶变换的神经网络自整定PID控制器

R. Swiniarski
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引用次数: 8

摘要

提出了一种适用于实时应用的PID控制器神经自整定器。在自适应PID控制方案中,神经自调谐器实时处理时间模式(被控系统中闭环继电器反馈的响应),并为PID控制器产生更新的参数。通过数值实验测试了中性自调谐器在不同训练集、时间信号呈现和处理技术以及噪声影响下的训练和泛化效果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neural network based self-tuning PID controller with Fourier transformation of temporal patterns
A neural autotuner for PID controllers that is relevant for real-time applications is presented. The neural autotuner, in an adaptive PID control scheme, processes temporal patterns (the responses of closed-loop relay feedback in the controlled system) in real time and produces updated parameters for the PID controller. Numerical experiments were carried out to test the training and generalization of the neutral autotuner with respect to different training sets, techniques of temporal signal presenting and processing and the influence of noise.<>
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CiteScore
1.40
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