Self-tuning scheme of predictive function controls reference trajectory based on expected response

SHEN Guoliang; ZHAO Jun; QIAN Jixin

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Self-tuning scheme of predictive function controls reference trajectory based on expected response

更新时间：2025-12-10

- Self-tuning scheme of predictive function controls reference trajectory based on expected response
- CIESC Journal Issue 1, Pages: 118-125(2008)
- 作者机构：
  
  浙江大学工业控制技术研究所
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Online First：05 January 2008，
  
  Published：05 January 2008
- 稿件说明：
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SHEN Guoliang, ZHAO Jun, QIAN Jixin. Self-tuning scheme of predictive function controls reference trajectory based on expected response[J]. CIESC Journal, 2008, (1): 118-125.
DOI：

SHEN Guoliang, ZHAO Jun, QIAN Jixin. Self-tuning scheme of predictive function controls reference trajectory based on expected response[J]. CIESC Journal, 2008, (1): 118-125. DOI：

摘要

采用指数律参考轨迹的传统预测函数控制（PFC），系统动态响应无法预先估计，不能直接按照指定的轨迹整定动态响应。本文提出了一种预测函数控制参考轨迹自校正策略。基于事先规定的期望响应，对指数律参考轨迹的衰减系数进行实时在线滚动优化，保证预测时域内的参考轨迹最大幅度地贴近期望轨迹，使得系统响应能够准确地跟踪期望轨迹，并在指定的时刻到达设定值，同时也保留了控制输出平滑的特性。仿真实验证实了该方法的有效性及其优点。

Abstract

The exponential reference trajectory algorithm used in traditional predictive function control results in the fact that the dynamic response can not be tuned to track a predefined curve.A new reference trajectory self-tuning scheme for predictive function control is presented in this paper.The damp parameter of reference trajectory is on-line optimal tuned by comparing current reference trajectory with a predefined trajectory，which guarantees that the dynamic response can reach the set point at an expected time and follow the expected response.The simulation shows that the proposed method can result in favorable dynamic performance and good robustness.

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