期刊信息
- 刊名： 河北师范大学学报（自然科学版）Journal of Hebei Normal University (Natural Science)
- 主办： 河北师范大学
- ISSN： 1000-5854
- CN： 13-1061/N
- 中国科技核心期刊
- 中国期刊方阵入选期刊
- 中国高校优秀科技期刊
- 华北优秀期刊
- 河北省优秀科技期刊
大滞后非线性系统PID型多步预测控制
-
1. 河北师范大学, 数学与信息科学学院, 河北, 石家庄, 050016;
2. 河北工业大学, 电气与信息科学学院, 天津, 300130 -
DOI：
PID-type Multi-step Predictive Control for Nonlinear Systems with Time-delay
摘要/Abstract
简要概述了基于神经网络的大滞后非线性系统多步预测器的实现，在分析直接多步预测中的误差自关联问题的基础上，提出一种较为准确的去误差直接预测方法，引用鲁棒性好的PID型多步预测目标函数对滞后非线性系统实现预测控制。在控制中，采用适用于动态系统的递归神经网络。仿真实验表明了所提方法的有效性。
The multi-step predictive algorithms based on neural networks are stated briefly for nonlinear system with large time-delay.It is known that the prediction results of the direct multi-step predictor are more accurate than the recursive predictor.Due to the autocorrelation of the direct prediction errors,a new direct cutting-error multi-step prediction method is proposed.The smaller multi-step prediction errors can be obtained.This new approach is applied to controlling nonlinear system with time-delay by using the PID-type long-range predictive cost function.In the process of control,recurrent neural networks which are more suitable for dynamic nonlinear systems are taken advantage.Simulation studies show the effectiveness and good performance of the new nethod.