• 为了提高陀螺仪测量精度,基于神经网络代数算法提出一种新的非线性误差补偿模型

    To improve measurement precision of gyroscope, a novel nonlinear error compensation model is proposed using an algebra algorithm of neural networks.

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  • 芯片集成化程度较高,可以补偿式压力传感器温度误差非线性误差

    It is mainly used to compensate temperature shift and non-linearity error of piezoresistive pressure sensor.

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  • 有些用于补偿检测系统非线性误差数据通常借助外接仪器测量待检品标准量电压的方法来获取

    Some compensation data for nonlinear error in metrical system is normally acquired from the measurement of tested the standard voltage by external equipments.

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  • 结果表明控制器能够补偿系统非线性因素保证系统的稳定减小跟踪误差

    The experiment results demonstrate that the controller can compensate the nonlinear factors in the system, guarantee the system stability and diminish the tracking error.

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  • 文章根据常规pid控制器鲁棒性差、控制精度特点,提出一种基于重复误差补偿控制的非线性高精度PID控制器。

    Against at weak robust and low precision of standard PID, a nonlinear and high precision PID based on repeatable error compensation is put forward in this paper.

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  • 方法利用BP网络较强的非线性映射能力,网络通过学习能实现对传感器系统误差补偿

    This method utilizes the nonlinear mapping ability of the BP neural network. By training, the BP neural network achieves the error compensation for multi sensor system.

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  • 动态控制器用来对消无人机非线性在线神经网络补偿对消不精确引起状态误差

    The dynamic inversion controller is used to eliminate the nonlinearity and the online neural net is used to compensate the state error caused by the elimination imprecision.

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  • 本文讨论了种具有在线误差补偿非线性动态控制器设计方案

    In this paper, it is discussed how to design an online error compensator for a fight control system by the method of nonlinear dynamic inverse.

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  • 提出种在智能仪器中用补偿函数实现非线性误差修正标度变换方法

    A method to realize non linearity correction and scale transformation with compensation function used in intelligent instrument is presented.

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  • 实验结果表明前馈补偿有效地减小了系统非线性误差提高了执行器的控制精度

    The results of test show that this inverse model feed-forward compensator has effectively reduced the non-linear error of the system and has improved the control precision of GMA.

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  • 飞机的基本控制采用非线性动态方法设计,对于模型不准确舵面故障因素导致的逆误差采用神经网络进行在线补偿

    The base control law is designed in nonlinear dynamic inversion, and neural networks are used to cancel the inversion error induced by many reasons, especially by actuator failures.

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  • 插值算法、神经网络算法进行了分析利用两种方法P SD非线性误差进行修正补偿

    The bilinear interpolation and neural network was analyzed, and the two means were used to modify the nonlinearity error of PSD and compensate it.

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  • 为了补偿由于惯性敏感元件高频振动整流引起非线性输出误差研究一种新的补偿方法——随机采样

    In order to compensate the nonlinear errors induced by the rectification for high frequency vibrations in the inertial measure unit (IMU), the paper presents a new random sampling method.

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  • 设计中使用2个神经网络离线训练NN1实现非线性系统在线网络NN2用于补偿误差系统动态特性变化。

    Two neural networks are used, the inversion of nonlinear systems is realized by off-line trained NN1, on-line NN2 is used to compensate inversion error and varieties of system dynamic property.

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  • 本文简要介绍数字滤波几种方法非线性补偿误差修正的几种方法以及零点漂移问题的自动跟踪处理方法

    Introduce several methods of digital percolate ave, nonlinear compensate and error correction, as well as zero error and automatic trace processing method in this article.

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  • 为了补偿激光外差干涉纳米测量中的非线性误差,提出了减小非线性误差一次谐波方法

    To compensate of the nonlinearity error of heterodyne interferometers in nanometer measurement, a method for reducing the first harmonic nonlinearity is proposed.

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  • 传感器非线性温度误差进行补偿

    Non linear error and temperature error of magnetic sensors are compensated.

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  • 系统可以补偿传感器特别是压阻传感器)温度误差线性部分非线性部分。

    The li near errors and high order errors of a sensor (especially piezoresistive sensor) can be corrected by using this system.

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  • 单体称量方面论文运用函数神经网络方法建模学习补偿路的非线性误差

    In the monomer weighing aspect, this paper using the function chain neural network method to model building and study , Compensation electric bridge misalignment error.

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  • 针对传感器信号中存在的非线性误差介绍了硬件补偿软件补偿两种方法

    Hardware compensation and software compensation methods for nonlinearity in the sensor signal are introduced.

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  • 针对传感器信号中存在的非线性误差介绍了硬件补偿软件补偿两种方法

    Hardware compensation and software compensation methods for nonlinearity in the sensor signal are introduced.

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