期刊文献+
共找到5篇文章
< 1 >
每页显示 20 50 100
最优化方法在动态载荷时程重构中的应用研究 被引量:8
1
作者 章继峰 张博明 杜善义 《振动与冲击》 EI CSCD 北大核心 2006年第4期5-7,29,共4页
动态载荷的时程重构是自感知智能化结构研究的重要内容。基于最优化理论提出了一种动态载荷时程的重构方法。首先基于一个模态空间的正向模型,设计一个最优化状态跟踪器并构造出性能指标J,将载荷时程的重构转变成一个两点边值问题的求... 动态载荷的时程重构是自感知智能化结构研究的重要内容。基于最优化理论提出了一种动态载荷时程的重构方法。首先基于一个模态空间的正向模型,设计一个最优化状态跟踪器并构造出性能指标J,将载荷时程的重构转变成一个两点边值问题的求解。通过求解R iccati矩阵方程实现了多输入、多输出系统的动态载荷时程的重构。相比传统的方法,该方法表现出较高的识别精度和较强的实用性,并通过算例验证了该方法的有效性。 展开更多
关键词 载荷时程重构 最优化方法 状态跟踪器 两点边值问题
下载PDF
MULTITARGET STATE AND TRACK ESTIMATION FOR THE PROBABILITY HYPOTHESES DENSITY FILTER 被引量:3
2
作者 Liu Weifeng Han Chongzhao +2 位作者 Lian Feng Xu Xiaobin Wen Chenglin 《Journal of Electronics(China)》 2009年第1期2-12,共11页
The particle Probability Hypotheses Density (particle-PHD) filter is a tractable approach for Random Finite Set (RFS) Bayes estimation, but the particle-PHD filter can not directly derive the target track. Most existi... The particle Probability Hypotheses Density (particle-PHD) filter is a tractable approach for Random Finite Set (RFS) Bayes estimation, but the particle-PHD filter can not directly derive the target track. Most existing approaches combine the data association step to solve this problem. This paper proposes an algorithm which does not need the association step. Our basic ideal is based on the clustering algorithm of Finite Mixture Models (FMM). The intensity distribution is first derived by the particle-PHD filter, and then the clustering algorithm is applied to estimate the multitarget states and tracks jointly. The clustering process includes two steps: the prediction and update. The key to the proposed algorithm is to use the prediction as the initial points and the convergent points as the es- timates. Besides, Expectation-Maximization (EM) and Markov Chain Monte Carlo (MCMC) ap- proaches are used for the FMM parameter estimation. 展开更多
关键词 Probability Hypotheses Density (PHD) Particle-PHD filter State and track estimation Finite mixture models
下载PDF
Unscented Transformation Based Robust Kalman Filter and Its Applications in Fermentation Process 被引量:12
3
作者 王建林 冯絮影 +1 位作者 赵利强 于涛 《Chinese Journal of Chemical Engineering》 SCIE EI CAS CSCD 2010年第3期412-418,共7页
State estimation is the precondition and foundation of a bioprocess monitoring and optimal control. However,there are many difficulties in dealing with a non-linear system,such as the instability of process, un-modele... State estimation is the precondition and foundation of a bioprocess monitoring and optimal control. However,there are many difficulties in dealing with a non-linear system,such as the instability of process, un-modeled dynamics,parameter sensitivity,etc.This paper discusses the principles and characteristics of three different approaches,extended Kalman filters,strong tracking filters and unscented transformation based Kalman filters.By introducing the unscented transformation method and a sub-optimal fading factor to correct the prediction error covariance,an improved Kalman filter,unscented transformation based robust Kalman filter,is proposed. The performance of the algorithm is compared with the strong tracking filter and unscented transformation based Kalman filter and illustrated in a typical case study for glutathione fermentation process.The results show that the proposed algorithm presents better accuracy and stability on the state estimation in numerical calculations. 展开更多
关键词 robust Kalman filter unscented transformation fermentation process nonlinear system
下载PDF
Following Control for a UUV using Temporary Path Generation Guidance 被引量:2
4
作者 Zheping Yan Dongnan Chi Jiajia Zhou Yufei Zhao 《Journal of Marine Science and Application》 2012年第2期236-243,共8页
A path following control algorithm for an unmanned underwater vehicle(UUV) using temporary path generation guidance was proposed in this paper.Owing to different initial states of the vehicle,such as position and or... A path following control algorithm for an unmanned underwater vehicle(UUV) using temporary path generation guidance was proposed in this paper.Owing to different initial states of the vehicle,such as position and orientation,the path following control in the horizontal plane may yield a poor performance.To deal with the negative effect induced by initial states,a temporary path generation was presented based on the relationship between the original reference path and the vehicle’s initial states.With different relative positions between the vehicle and reference path,including out of straight lines,as well as inside and outside a circle,the related temporary paths guiding the vehicle to the reference path were able to be generated in real time.The vehicle was guided to steer along the temporary path until it reached the tangent point at the reference path,where the controller was designed using the input-output feedback linearization method.Simulation results demonstrated that the proposed algorithm is effective under the three different situations mentioned above. 展开更多
关键词 nonlinear control path following control UUV temporary path generation input-output feedback linearization
下载PDF
Research on improved active disturbance rejection control of continuous rotary motor electro-hydraulic servo system 被引量:6
5
作者 WANG Xiao-jing FENG Ya-ming SUN Yu-wei 《Journal of Central South University》 SCIE EI CAS CSCD 2020年第12期3733-3743,共11页
In order to meet the precision requirements and tracking performance of the continuous rotary motor electro-hydraulic servo system under unknown strong non-linear and uncertain strong disturbance factors,such as dynam... In order to meet the precision requirements and tracking performance of the continuous rotary motor electro-hydraulic servo system under unknown strong non-linear and uncertain strong disturbance factors,such as dynamic uncertainty and parameter perturbation,an improved active disturbance rejection control(ADRC)strategy was proposed.The state space model of the fifth order closed-loop system was established based on the principle of valve-controlled hydraulic motor.Then the three parts of ADRC were improved by parameter perturbation and external disturbance;the fast tracking differentiator was introduced into linear and non-linear combinations;the nonlinear state error feedback was proposed using synovial control;the extended state observer was determined by nonlinear compensation.In addition,the grey wolf algorithm was used to set the parameters of the three parts.The simulation and experimental results show that the improved ADRC can realize the system frequency 12 Hz when the tracking accuracy and response speed meet the requirements of double ten indexes,which lay foundation for the motor application. 展开更多
关键词 continuous rotary electro-hydraulic servo motor active disturbance rejection control(ADRC) fast tracking differentiator(TD) non-linear state error feedback(NLSEF) extended state observer(ESO) grey wolf algorithm
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部