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基于滑模估计器和卡尔曼滤波的PMSM速度估计 被引量:1
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作者 刘宇 刘杰 +1 位作者 戴丽 喻春明 《系统仿真学报》 CAS CSCD 北大核心 2008年第1期162-164,190,共4页
针对永磁同步电机(PMSM)无传感器的控制问题,提出了一种结合滑模估计器和扩展卡尔曼滤波(EKF)两种方法优点的混合估计器。混合估计器解决了滑模估计器对于反电动势具有较大"畸变"的电机速度估计效果差的缺点。混合估计器建立... 针对永磁同步电机(PMSM)无传感器的控制问题,提出了一种结合滑模估计器和扩展卡尔曼滤波(EKF)两种方法优点的混合估计器。混合估计器解决了滑模估计器对于反电动势具有较大"畸变"的电机速度估计效果差的缺点。混合估计器建立了一个3阶EKF滤波器,把反电动势高次谐波分量作为系统和测量噪声处理。降阶后的EKF参数调节变得比传统的EKF估计器相对容易很多,在反电动势有"畸变"单纯滑模估计器估计效果很差时,估计效果依然很好。对滑模估计器、传统EKF估计器和混合控制器三种估计效果做了比较,阐明了混合估计器的优缺点。 展开更多
关键词 PMSM 无传感控制 扩展卡尔曼滤波 滑模估计 混合估计器
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基于M估计的混合噪声主动控制算法
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作者 田亚雄 苏燕辰 《佳木斯大学学报(自然科学版)》 CAS 2016年第5期791-794,共4页
目前在主动噪声控制领域,人们提出了许多控制特定噪声的控制算法。例如窄带噪声、宽带噪声、脉冲噪声等。然而在现实生活中存在许多声源,空间中的噪声往往是混合噪声,那么针对特定噪声而提出的特定算法会在实际应用中受到限制。因此提... 目前在主动噪声控制领域,人们提出了许多控制特定噪声的控制算法。例如窄带噪声、宽带噪声、脉冲噪声等。然而在现实生活中存在许多声源,空间中的噪声往往是混合噪声,那么针对特定噪声而提出的特定算法会在实际应用中受到限制。因此提出了混合噪声主动噪声控制算法——滤波-x Cauchy型转换递归最小二乘(Ca FxRLS)算法。该算法在递推最小二乘法(RLS)结构下,利用鲁棒统计学中的Cauchy型M估计器对误差信号进行转换,并以转换过的误差信号加权和最小为控制目标,同时用算法误差代替真实误差来提升控制效果。最后进行了仿真,仿真结果表明该算法在处理脉冲噪声、宽窄带混合噪声、脉冲噪声与宽窄带噪声的混合噪声有着优异的效果。 展开更多
关键词 主动噪声控制 M估计 混合噪声 RLS
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HYBRID FILTER WITH PREDICT-ESTIMATOR AND COMPENSATOR FOR THE LINEAR TIME INVARIANT DELAYED SYSTEM 被引量:5
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作者 Wen Chenglin Ge Quanbo Feng Xiaoliang 《Journal of Electronics(China)》 2009年第5期666-672,共7页
This paper investigates the problem of real-time estimation for one kind of linear time invariant systems which subject to limited communication capacity. The communication limitations include signal transmission dela... This paper investigates the problem of real-time estimation for one kind of linear time invariant systems which subject to limited communication capacity. The communication limitations include signal transmission delay, the out-of-sequence measurements and data packet dropout, which appear typically in a network environment. The kernel of filter design is equally to formularize the traditional Kalman filter as one linear weighted summation which is composed of the initial state estimate and all sequential sampled measurements. For it can adapt aforementioned information limitations, the linear weighted summation is then decomposed into two stages. One is a predict-estimator composed by all reached measurements, another is one compensator constructed by those time-delayed data. In the network environment, there are obvious differences between the new hybrid filter and those existing delayed Kalman filters. For example, the novel filter can be optimal in the sense of linear minimum mean square error as soon as all measurements available and has the lowest running time than these existing delayed filters. One simulation, including two cases, is utilized to illustrate the design procedures proposed in this paper. 展开更多
关键词 Kalman filter Signal transmission delay Measurement summation Predict-estimator COMPENSATOR
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Optimal sensor scheduling for hybrid estimation
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作者 LIU Jian-liang SUN Yao +2 位作者 YANG Jian LIU Wei-yi CHEN Wei-min 《Journal of Central South University》 SCIE EI CAS 2013年第8期2186-2194,共9页
A sensor scheduling problem was considered for a class of hybrid systems named as the stochastic linear hybrid system (SLHS). An algorithm was proposed to select one (or a group of) sensor at each time from a set ... A sensor scheduling problem was considered for a class of hybrid systems named as the stochastic linear hybrid system (SLHS). An algorithm was proposed to select one (or a group of) sensor at each time from a set of sensors. Then, a hybrid estimation algorithm was designed to compute the estimates of the continuous and discrete states of the SLHS based on the observations from the selected sensors. As the sensor scheduling algorithm is designed such that the Bayesian decision risk is minimized, the true discrete state can be better identified. Moreover, the continuous state estimation performance of the proposed algorithm is better than that of hybrid estimation algorithms using only predetermined sensors. Finallyo the algorithms are validated through an illustrative target tracking example. 展开更多
关键词 sensor scheduling hybrid systems Bayesian decision risk target tracking
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DECLARATIVE HYBRID ROUTING PROTOCOLS IN AD HOC NETWORKS
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作者 Gao Xiang Li Zhongyuan Wang Min 《Journal of Electronics(China)》 2013年第4期341-351,共11页
This paper presents adaptive hybrid protocols based on the declarative network and mainly discusses the principle and realization of the Bayesian-estimation based adaptive hybrid protocol in the declarative network, w... This paper presents adaptive hybrid protocols based on the declarative network and mainly discusses the principle and realization of the Bayesian-estimation based adaptive hybrid protocol in the declarative network, which is well adapted to the Mobile Ad hoc NETwork (MANET). The adaptive hybrid protocol is designed for ad hoc networks which have characteristics like self-organizing, no trusted party, flexibility, etc. The nodes that run the hybrid protocol can automatically select one routing protocol that is suitable for different network environment. The Bayesian-estimation based adaptive strategy, that improves the adaptability and stability of the protocol, succeeds in the Rapidnet, a declarative network engine. The result in the Rapidnet proves that the hybrid protocol and the adaptive strategy are feasible. The experiment on the ns-3 simulator, an emerging discrete-event network simulator, validates that this protocol performs well and reduces communication overheads. 展开更多
关键词 Declarative network Bayesian estimation Hybrid routing protocol Adaptive strategy Mobile Ad hoc NETwork (MANET)
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