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1.
Adaptively robust filtering with classified adaptive factors   总被引:4,自引:0,他引:4  
The key problems in applying the adaptively robust filtering to navigation are to establish an equivalent weight matrix for the measurements and a suitable adaptive factor for balancing the contributions of the measurements and the predicted state information to the state parameter estimates. In this paper, an adaptively robust filtering with classified adaptive factors was proposed, based on the principles of the adaptively robust filtering and bi-factor robust estimation for correlated observations. According to the constant velocity model of Kalman filtering, the state parameter vector was divided into two groups, namely position and velocity. The estimator of the adaptively robust filtering with classified adaptive factors was derived, and the calculation expressions of the classified adaptive factors were presented. Test results show that the adaptively robust filtering with classified adaptive factors is not only robust in controlling the measurement outliers and the kinematic state disturbing but also reasonable in balancing the contributions of the predicted position and velocity, respectively, and its filtering accuracy is superior to the adaptively robust filter with single adaptive factor based on the discrepancy of the predicted position or the predicted velocity.  相似文献   

2.
A new method of adaptive filtering by selecting the parameter weight factor is introduced in this paper. Based on the theoretical analysis and research, this method is firstly used for precise kinematic GPS positioning with single frequency double-differenced (DD) carrier phase observations. Two numerical examples are given to illustrate the feasibility and validity of the method. The preliminary results show that precise positioning results can be obtained by using only the GPS single frequency DD carrier phase measurements for short baselines with the new method.  相似文献   

3.
Friction is one of the main factors that affect the positioning accuracy of motion system. Friction compensation based on friction model is usually adopted to eliminate the nonlinear effect of friction. This paper presents a proportional-plus-derivative (PD) feedback controller with a friction compensator based on LuGre friction model. We also design a state observer to observe the unknown state of LuGre friction model, and adopt a parameter adaptive law and off-line approximation to estimate the parameters of LuGre friction model. Comparative experiments are carried out among our proposed controller, PD controller with friction compensation based on classical friction model, and PD controller without friction compensation. Experimental results demonstrate that our proposed controller can achieve better performance, especially higher positioning accuracy.  相似文献   

4.
Precise orbit determination for GRACE with zero-difference kinematic method   总被引:2,自引:0,他引:2  
Thanks to the high performance of the spaceborne GPS receiver and the availability of precise IGS orbit and clock products, ze-ro-difference kinematic precise orbit determination (POD) has been turned out to be a new effective method in orbit determination for the LEO satellites. Zero-difference kinematic POD, which is based on the GPS measurements only from the spaceborne GPS receiver, does not depend on the force models and orbit design. From this point of view, kinematic POD is suitable for the Earth observation satellites at very low altitudes, such as CHAMP, GRACE and GOCE, etc. This paper first reviews the basic ze-ro-difference GPS observation model. Then a modified data quality control scheme is put forward. Finally, a block-wise least squares algorithm, which first separates the parameters into several groups and then solves the parameters by elimination and back-substitution, is discussed and proposed for the kinematic orbit determination. With the above algorithms, we developed kinematic POD software to solve the orbit suitable for one-week GRACE observations. Comparisons with the published Rapid Science Orbit (RSO) indicate that, using our approach to determine the orbit, the accuracy in the radial direction can achieve 3―4 cm for GRACE-A, and 3―5 cm for GRACE-B.  相似文献   

5.
This paper presents a new approach for modeling the human body by considering the motion state and the shape of whole body. The body model consists of a skeleton kinematic model and a surface model. The former is used to determine the posture of the body, and the latter is used to generate the body shape according to the given posture. The body surface is reconstructed with multi-segment B-spline surfaces based on the 3D scan data from a real human body. Using only a few joints parameters and the original surface scan data, the various body postures and the shape can be generated easily. The model has a strong potential of being used for ergonomic design, garment design, virtual reality environment, as well as creating human animation, etc.  相似文献   

6.
The digital baseband predistorter is an effective technique to compensate for the nonlinearity of power amplifiers (PAs) with memory effects. However, most available adaptive predistorters based on direct learning architectures suffer from slow convergence speeds. In this paper, the recursive prediction error method is used to construct an adaptive Hammerstein predistorter based on the direct learning architecture, which is used to linearize the Wiener PA model. The effectiveness of the scheme is demonstrated on a digital video broadcasting-terrestrial system. Simulation results show that the predistorter outperforms previous predistorters based on direct learning architectures in terms of convergence speed and linearization. A similar algorithm can be applied to estimate the Wiener PA model, which will achieve high model accuracy.  相似文献   

7.
Robust direct adaptive fuzzy control for nonlinear MIMO systems   总被引:1,自引:0,他引:1  
For a class of nonlinear multi-input multi-output systems with uncertainty, a robust direct adaptive fuzzy control scheme was proposed. The feedback control law and adaptive law for parameters were derived based on Lyapunov design approach. The overall control scheme can guarantee that the tracking error converges in the small neighborhood of origin, and all signals of the closed-loop system are uniformly bounded. The main advantage of the proposed control scheme is that in each subsystem only one parameter vector needs to be adjusted on-line in the adaptive mechanism, and so the on-line computing burden is reduced. In addition, the proposed control scheme is a smooth control with no chattering phenomena. A simulation example was proposed to demonstrate the effectiveness of the proposed control algorithm.  相似文献   

8.
A concept of new two-constant of colorant, both ( R/St ) and (s/St), is introduced based on the Kubelka-Munk theory. A new two-constant theory for color matching is presented. Basic equations used in matching to K/S values are given in matrix form based on the new two-constant theory. Algorithm for a least-squares match to K/S values of a sample is developed by use of the new two-constant theory. The algorithm is suitable for single-constant theory as well as two-constant theory. The experimental data show that calculating K/S values of disperse dyes based on new two- constant theory are accordant with the measuring ones. The recipes predicted by new two-constant theory arc closer to the actual recipes of the standard sample than the recipes predicted by single-constant theory. The sample according to the recipe predicted by new two-constant theory has smaller color difference against for the standard than the sample according to the recipe predicted by single-constant theory. The results show that the scattering of disperse dyes cannot be negligible, and that the recipes match to textiles colored by disperse dyes should be predicted by using of new two-constant theory.  相似文献   

9.
周彤  李梢 《清华大学学报》2007,12(6):629-637
This paper presents an algorithm for identifying desirable multiple targets in an intracellular regula- tion network. The algorithm is based on constrained state feedback and Monte-Carlo simulations. The com- putational complexity of the algorithm increases linearly with increasing the number of species in a gene regulation system. An estimate is derived for the confidence level of the predicted minimum required pertur- bation strength when targets are prescribed a priori. The algorithm has been used to analyze the cell cycle of Xenopus frog eggs. The results agree well with available results for single target perturbations, and multi- target interference is usually not equal to the summation of the single-target interferences.  相似文献   

10.
The electrohydraulic servo position control system (HPC) is the core of an auto gap control for a modern fourhigh continuous hot strip mill. The actuators are loaded with considerable external disturbances, rolling forces, and the system stiffness and position accuracy will become hypersensitive to the leakage and the compressibility of the oil. Many efforts have being made to increase the position accuracies. The conventional resources are proportion integral differential (PID) controller. But the PID controller is faint for a considerable external disturbance. In this paper, by introducing the adaptive control strategy of model reference the reciprocities of the system structure with the loads were analyzed. With the Lyapunov energy function, an adaptive control algorithm applied to improve the system accuracy was formulated. The system simulations and the selection of parameters of the model were also discussed. The simulations show the static state errors at 0.02%. Finally, the industrial experimental result was given.  相似文献   

11.
针对PMLSM伺服系统的位置跟踪控制问题,提出一种基于特征模型的自适应迭代学习控制方案。由分析可知,在"id=0"的控制策略下,该系统是一个六阶线性定常系统。结合特征模型理论,给出了该系统的一阶、二阶和三阶特征模型,其特征参数沿时间轴和迭代轴均是变化的。采用遗忘因子最小二乘迭代学习辨识与最小方差控制方法,给出一种基于特征模型的带饱和限幅自适应迭代学习控制方案。仿真结果表明,提出的学习控制方案能够实现系统输出对期望位置的轨迹跟踪。  相似文献   

12.
以精确估计车辆状态参数为目标,提出了一种基于自适应无迹卡尔曼滤波的车辆状态参数估计算法,采用非线性三自由度车辆模型,将模糊控制与无迹卡尔曼滤波算法相结合,实现对系统测量噪声的自适应调整,通过对方向盘转角,纵向加速度和横向加速度等低成本传感器信息融合实现对质心侧偏角和横摆角速度的状态估计.应用CarSim与Matlab/Simulink建立分布式驱动电动汽车整车模型并且联合仿真对估计算法的有效性进行验证.结果表明自适应无迹卡尔曼滤波比无迹卡尔曼滤波更能有效准确地进行车辆状态参数估计,在双移线工况中,质心侧偏角估计精度提高了6.7%,横摆角速度估计精度提高了4.8%.   相似文献   

13.
抗差与自适应组合的卡尔曼滤波算法在动态导航中的研究   总被引:1,自引:0,他引:1  
针对观测信息不充足时,无法使用现有的一些抗差自适应滤波的问题,提出一种组合抗差滤波和自适应滤波的方法.该方法利用基于m估计实现的抗差滤波和基于新息向量马氏距离平方服从卡方分布而构造的自适应滤波,同时采用2次对检验统计量进行判别的方法,可以在单个历元实现在标准卡尔曼滤波、自适应卡尔曼滤波和抗差卡尔曼滤波之间选择一种当前时刻的最优滤波,因此,采用该方法也能构成抗差自适应卡尔曼滤波.仿真结果表明,在观测信息不足且滤波模型出现异常时,该方法能有效控制动力学模型误差和观测异常对导航解的影响,使导航解更能反映导航系统的真实情况.  相似文献   

14.
一种在线自适应控制马氏链的强化学习算法   总被引:2,自引:2,他引:0  
讨论平均准则控制马氏链的强化学习算法。目的是寻找使得长期每阶段期望平均报酬最大的最优控制策略,由于事先未知状态转移矩阵及报酬向量,故必需使用自适应控制方法,通过引入称之为行动器和评判器的神经网络构造,使得学习单元在不断学习中,最终能发现最优策略。行动器的参数在学习中不断被修正,每一时刻的参数的值均对应着一个随机控制策略。评判器用来估计这些参数以找出最优控制策略。  相似文献   

15.
利用反演设计,提出一种强化学习自适应神经网络轮式移动机器人(WMR)轨迹跟踪控制方法.首先在极坐标下建立WMR的轨迹跟踪误差模型,并基于此设计运动学控制器.然后,针对WMR动力学系统,设计自适应神经网络控制器.结合强化学习机制,同时对系统未知侧滑、打滑和模型不确定性进行优化补偿,并引入鲁棒控制项来消除补偿误差的影响,进一步提高了控制效果.所提控制方法使得闭环系统稳定,且最终一致有界收敛,其有效性通过数值仿真结果得到了验证.  相似文献   

16.
针对一类含有时变延迟的双线性参数化时变系统,提出了一种新的重复学习控制方案.该方案假设未知时变参数、未知时滞和参考信号的共同周期是已知的,通过重构系统方程,有效地消除时变延迟的影响,采用微分—差分耦合参数周期自适应律估计时变和时不变参数,可以处理参数在一个未知紧集内周期性快时变的非线性系统,通过构造一个Lyapunov-Krasovskii能量函数,证明所有信号有界并且跟踪误差渐近收敛.给出了闭环系统收敛的一个充分条件.仿真结果验证了控制算法的有效性.  相似文献   

17.
自适应强跟踪容积卡尔曼滤波算法   总被引:1,自引:0,他引:1  
提出了一种自适应强跟踪容积卡尔曼滤波算法(ASTSCKF),该算法在平方根容积卡尔曼滤波算法(SCKF)步骤中引入强跟踪滤波器(STF),通过渐消因子在线修正一步预测误差协方差矩阵,强迫输出残差序列正交,使得算法具有应对系统状态突变等不确定因素的能力,增强了算法的鲁棒性;结合改进渐消记忆时变噪声统计估计器,对噪声方差阵进行实时在线估计,有效解决了SCKF算法由于噪声统计不准确、未知或时变性带来的滤波发散问题,使其具有应对噪声变化的自适应能力。仿真实验结果表明:ASTSCKF算法在系统状态发生突变并且噪声变化的情况下,能够表现出良好的滤波性能,较SCKF算法有更强的鲁棒性以及噪声变化的自适应性。  相似文献   

18.
软体机械臂具有灵活性和柔顺性的特点,可在实现对位姿跟踪的同时确保与环境交互的安全性,近年成为研究的热点。但由于软体机械臂材料变形是非线性的,其运动学建模的参数众多且难以获得准确值,使软体机械臂实现运动学控制较为困难。为了补偿软体机械臂的不确定性,在现在视觉伺服的基础上,提出一种基于历史数据驱动的手眼视觉伺服新方法。该方法结合基于随机森林算法的控制器来完成机械臂控制任务,通过对历史数据聚类,基于随机森林回归模型建立软体机械臂驱动状态和末端图像特征的逆映射,无须求解机械臂和摄像机的任何参数,即可快速获取系统输入变量。实验结果表明,所提出的方法可以较好地实现预期控制目标。  相似文献   

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