A Study on Development and Applications of Feedforward Adaptive Control

前馈自适应控制的发展及应用研究

基本信息

  • 批准号:
    15560385
  • 负责人:
  • 金额:
    $ 2.3万
  • 依托单位:
  • 依托单位国家:
    日本
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
  • 财政年份:
    2003
  • 资助国家:
    日本
  • 起止时间:
    2003 至 2004
  • 项目状态:
    已结题

项目摘要

The feedforward control can much improve control performance by effectively using accessible signals. Since it depends on accuracy of the model of controlled systems, adaptive approaches with assured stability and convergence should be developed. The research results are summarized as follows :(1)A new direct adaptive approach is proposed for general multichannel active noise control(ANC) and multichannel sound reproduction (SRP) when all of the path channels are uncertain and changeable. To reduce the canceling or reconstruction errors, two kinds of virtual errors are introduced and are forced into zero by adjusting three adaptive FIR filter matrices in an on-line manner, by which the convergence of the actual canceling errors to zero can be attained at the objective points. Unlike other conventional approaches, the proposed algorithm can give an inverse controller directly without need of explicit identification of the secondary path channels, and requires neither any dither signals … More nor the PE property of the source signals, which is a great advantage of the proposed approach.(2)A new time-domain adaptive predistortion scheme has been developed for compensating nonlinearity of high power amplifiers (HPA) in OFDM systems. A power series model with memory(PSMWM) is proposed to approximately describe the nonlinear input-output relation of HPA with dynamics. By using the PSMWM, the compensation input to HPA is calculated in a real-time manner so that the linearization from the predistortor input to the HPA output can be attained even if the nonlinear input-output relation of HPA is uncertain and changeable. The effectiveness of the proposed adaptive compensation scheme is validated by numerical simulation for 64QAM--OFDM systems.(3)Magnetorheological(MR) damper is a promising semi-active device for vibration control of structures. A simple mathematical model of MR damper with a small number of model parameters has been given to express its hysteresis behavior of nonlinear dynamic friction mechanism of the MR fluid. The adaptive identification algorithm is also proposed in which the uncertain model parameters and internal state variable can be estimated. The proposed model has an advantage that by using its inverse model we can analytically determine the necessary input voltage to the MR damper so that the desirable damper force can be added to the structure in an adaptive manner. Experimental results validate the proposed adaptive modeling and control schemes in vibration isolation of three story structure. Less
前馈控制通过有效地利用可达信号,大大提高了控制性能。由于它依赖于被控系统模型的准确性,因此应开发具有保证稳定性和收敛性的自适应方法。研究结果如下:(1)提出了一种新的直接自适应方法,用于所有路径信道不确定和可变的通用多通道有源噪声控制(ANC)和多通道声音再现(SRP)。为了减小对消误差或重构误差,引入了两种虚拟误差,通过在线调整三个自适应FIR滤波器矩阵将其强制为零,从而使实际对消误差在目标点收敛到零。与其他传统方法不同,该方法不需要显式辨识副路径信道,不需要任何抖动信号,也不需要源信号的PE特性,可以直接给出逆控制器,这是该方法的一大优点。(2)针对OFDM系统中高功率放大器(HPA)的非线性补偿,提出了一种新的时域自适应预失真补偿方案。提出了一种带记忆的幂级数模型(PSMWM)来近似描述带动力学的HPA的非线性输入输出关系。利用PSMWM实时计算对HPA的补偿输入,即使HPA的非线性输入输出关系是不确定和变化的,也能实现从预失真器输入到HPA输出的线性化。通过对64QAM- OFDM系统的数值仿真,验证了所提自适应补偿方案的有效性。(3)磁流变阻尼器是一种很有前途的半主动结构振动控制装置。为了表达磁流变液非线性动力摩擦机理的磁流变阻尼器滞回特性,给出了一个模型参数较少的磁流变阻尼器的简单数学模型。提出了一种能够估计不确定模型参数和内部状态变量的自适应辨识算法。该模型的优点是,利用其逆模型可以解析地确定磁流变阻尼器所需的输入电压,从而自适应地将所需的阻尼力添加到结构中。实验结果验证了所提出的三层结构隔振自适应建模和控制方案的有效性。少

项目成果

期刊论文数量(42)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Channel identification for SFN relay station with coupling wave in OFDM systems
OFDM系统中耦合波SFN中继站的信道识别
丁 元明, 佐野 昭: "非線形増幅器の時間域適応歪補償アルゴリズム"電気学会論文誌C. 124C, No.3. 861-869 (2004)
Yuanming Ding,Akira Sano:“非线性放大器的时域自适应失真补偿算法”日本电气工程师学会会刊C.124C,No.3.861-869(2004)
  • DOI:
  • 发表时间:
  • 期刊:
  • 影响因子:
    0
  • 作者:
  • 通讯作者:
Computationally efficient subspace-based method for direction-of-arrival estimation without eigendecomposition
Identification-based adaptive predistortion compensation for nonlinearity of high power amplifiers in OFDM system
OFDM系统中高功率放大器非线性的基于识别的自适应预失真补偿
Lianming Sun, Yuanming Ding, Akira Sano: "Identification-based predistortion scheme for high power amplifiers"IEICE Trans. Fundamentals. E86-A, No.4. 874-881 (2003)
孙连明、丁渊明、佐野彰:“基于识别的高功率放大器预失真方案”IEICE Trans.
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    0
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SANO Akira其他文献

An Adaptive Predistortion Linearization for Nonlinear Amplifiers with Memory Effects
具有记忆效应的非线性放大器的自适应预失真线性化

SANO Akira的其他文献

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{{ truncateString('SANO Akira', 18)}}的其他基金

Autophagic neurodegeneration in molecular pathogenesis of chorea-accanthocytosis
自噬性神经变性在舞蹈病-棘红细胞增多症分子发病机制中的作用
  • 批准号:
    23390291
  • 财政年份:
    2011
  • 资助金额:
    $ 2.3万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Comprehensive genetic analysis ofParkin gene in psychiatric diseases
Parkin基因与精神疾病的综合遗传分析
  • 批准号:
    23659568
  • 财政年份:
    2011
  • 资助金额:
    $ 2.3万
  • 项目类别:
    Grant-in-Aid for Challenging Exploratory Research
Comprehensive analysis of the genes responsible for neuroacanthocytosis in psychiatric disorders
精神疾病中神经棘红细胞增多症基因的综合分析
  • 批准号:
    20390314
  • 财政年份:
    2008
  • 资助金额:
    $ 2.3万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Study on Identification of Nonlinear Physical Models with Applications to Prediction and Control
非线性物理模型辨识及其在预测与控制中的应用研究
  • 批准号:
    19560454
  • 财政年份:
    2007
  • 资助金额:
    $ 2.3万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Adaptive IdentificationAlgorithms of Nonlinear Systems with their Applications
非线性系统自适应辨识算法及其应用
  • 批准号:
    17560399
  • 财政年份:
    2005
  • 资助金额:
    $ 2.3万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Molecular genetical approach for multifactorial neuropsychiatric diseases
多因素神经精神疾病的分子遗传学方法
  • 批准号:
    16390326
  • 财政年份:
    2004
  • 资助金额:
    $ 2.3万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Study on the relation between chorea-acanthocytosis gene and psychiatric disorders
舞蹈症棘红细胞增多症基因与精神疾病关系的研究
  • 批准号:
    14370291
  • 财政年份:
    2002
  • 资助金额:
    $ 2.3万
  • 项目类别:
    Grant-in-Aid for Scientific Research (B)
Adaptive Identification of Nonlinear Systems Operating in Closed-loop
闭环非线性系统的自适应辨识
  • 批准号:
    13650495
  • 财政年份:
    2001
  • 资助金额:
    $ 2.3万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
The establishment of diagnostic and therapeutic method for mood and axiety disorders Pharmacogenetical analysis of serotonin transporter gene
情绪和焦虑障碍诊断和治疗方法的建立 血清素转运蛋白基因的药物遗传学分析
  • 批准号:
    12670943
  • 财政年份:
    2000
  • 资助金额:
    $ 2.3万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Closed-Loop System Identification by Using Multi-Rate Sampling Scheme
使用多速率采样方案进行闭环系统识别
  • 批准号:
    11650454
  • 财政年份:
    1999
  • 资助金额:
    $ 2.3万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)

相似海外基金

Adaptive Identification of Nonlinear Systems Operating in Closed-loop
闭环非线性系统的自适应辨识
  • 批准号:
    13650495
  • 财政年份:
    2001
  • 资助金额:
    $ 2.3万
  • 项目类别:
    Grant-in-Aid for Scientific Research (C)
Adaptive Identification and Control of Dynamical Systems Using Neural Networks
使用神经网络的动态系统的自适应识别和控制
  • 批准号:
    0113239
  • 财政年份:
    2001
  • 资助金额:
    $ 2.3万
  • 项目类别:
    Standard Grant
Adaptive Identification and Control of Dynamical Systems Using Neural Networks
使用神经网络的动态系统的自适应识别和控制
  • 批准号:
    9811390
  • 财政年份:
    1998
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Research on Adaptive Identification Systems to Estimate Dynamic Behaviors of Moving Objects
估计运动物体动态行为的自适应识别系统研究
  • 批准号:
    10650436
  • 财政年份:
    1998
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Risk-Sensitive and/or Adaptive Identification of Dynamic Systems by Neural Networks
通过神经网络对动态系统进行风险敏感和/或自适应识别
  • 批准号:
    9707206
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    1997
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Adaptive Identification and Control of Dynamical Systems Using Neural Networks
使用神经网络的动态系统的自适应识别和控制
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    1995
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Adaptive Identification and Control of Dynamical Systems Using Neural Networks
使用神经网络的动态系统的自适应识别和控制
  • 批准号:
    9203928
  • 财政年份:
    1992
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Adaptive Identification and Control of Dynamical Systems Using Neural Networks
使用神经网络的动态系统的自适应识别和控制
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