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基于恒压蓄能器非对称缸能量回收及强度校核

中国工程机械学报 2024年第4期22卷 452-457页

作者：荆忠亮宁志强卫立新山西工程技术学院机械工程系山西阳泉045000 太原科技大学机械工程学院山西太原030024

针对非对称缸工作装置在下降过程中存在较大的节流损耗问题,采用普通的蓄能器进行回收可以减小系统发热,但是当蓄能器内外压差小时,能量充放效果差,影响作业性能。因此,提出采用恒压蓄能器对非对称缸能量回收系统进行回收与利用,并对所... 详细信息

针对非对称缸工作装置在下降过程中存在较大的节流损耗问题,采用普通的蓄能器进行回收可以减小系统发热,但是当蓄能器内外压差小时,能量充放效果差,影响作业性能。因此,提出采用恒压蓄能器对非对称缸能量回收系统进行回收与利用,并对所提出的恒压蓄能器隔膜进行强度校核。首先,在Simulation X液压仿真软件中,搭建非对称泵驱动的非对称缸工作装置进行基于恒压蓄能器的能量回收系统仿真;然后,采用基于粒子群算法的并行优化设计方法,对影响回收效率的恒压蓄能器参数进行参数匹配,以提高能量回收效率;最后,对所提出的恒压蓄能器的隔膜进行强度校核与可行性分析。仿真研究结果表明:采用优化后的恒压蓄能器参数进行能量回收的方案,充放压力效果恒定,系统能量回收率达到18.9%。同时所提出的新隔膜方案满足设计强度要求,可为后续的恒压蓄能器的试制提供参考依据。

关键词：恒压蓄能器能量回收参数匹配强度校核

Generalized LMMSE Filtering with Out-of-Sequence Observations in Arbitrary Constant Delay

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Chinese Journal of Electronics 2019年第6期28卷 1217-1226页

作者： LEI Ming BAEHR Christophe jing zhongliang School of Aeronautics and Astronautics Shanghai Jiao Tong University Météo-France National Meteorological Research Centre/CNRS

Focusing on the problem of state estimation in the presence of sensor faults and Out-of-sequence measurement(OOSM) observations synchronously, we derive a formulation of Linear minimum mean squared error(LMMSE) filter with the arbitrary time delay of OOSM, the generalization of the present work lies in simultaneous treatment of correlated faults together with OOSMs that arrive at an arbitrary delay in a linear-optimal manner. The approach is demonstrated in a numerical comparison.

关键词： Out-of-sequence measurement(OOSM) Linear minimum mean squared error(LMMSE) Arbitrary time delay Sensor faults Fault-tolerant estimation Multisensor fusion

Current progress of information fusion in China

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Chinese Science Bulletin 2013年第36期58卷 4533-4540页

作者： jing zhongliang PAN Han QIN YanYuan School of Aeronautics and Astronautics Shanghai Jiao Tong University

Information fusion is a challenging task to extract the required information for high-level applications from various homogeneous or heterogeneous *** paper summarizes some improvements in recent five years in the presented structure of information fusion,including estimation fusion,image fusion and *** technologies of information fusion and their variants are *** the state-of-the-art of the algorithms for information fusion have been proposed,there still remains some fundamental challenges with regard to exploiting the emerging multi-sensors’characteristics and their special ***,some potential prospects of estimation fusion and image fusion are discussed.

关键词：信息融合进度中国图像融合多传感器发展前景挑战性结构

UKF-based multi-sensor passive tracking with active assistance

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Journal of Systems Engineering and Electronics 2006年第2期17卷 245-250页

作者： Li Anping jing zhongliang Hu Shiqiang Inst. of Aerospace Information and Control School of Electronic Information and Electrical Engineering Shanghai Jiaotong Univ. Shanghai 200030 P.R. China

A new synergy tracking method of infrared and radar is presented. To improve tracking accuracy, the unscented Kalman filter （UKF）, which has better nonlinear approximation ability, is adopted. In addition, to reduce the possibility of radar being locked-on by adverse electronic support measure （ESM）, radar is under the intermittent-working state. After radar is turned off, the possible target position is estimated by a set of time polynomials, which is constructed based on the sufficient observations done before radar is turned off, the estimated values from time polynomials are compared with the current observation values from infrared to determine the time when radar is turned on. Simulation results show the method has a good tracking accuracy and effectively reduces the possibility of radar being locked-on by adverse ESM.

关键词： active radar infrared least square time polynomial the unscented Kalman filter.

New trajectory linearization control for nonlinear systems undergoing harmonic disturbance

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Journal of Systems Engineering and Electronics 2009年第3期20卷 571-576页

作者： Zhu Liang Chen Li jing zhongliang Hu Shiqiang School of Aeronautics and Astronautics Shanghai Jiaotong Univ. Shanghai 200240 P. R. China

This paper presents a new trajectory linearization control scheme for a class of nonlinear systems subject to harmonic disturbance. It is supposed that the frequency of the disturbance is known, but the amplitude and the phase are unknown. A disturbance observer dynamics is constructed to estimate the harmonic disturbance, and then the estimation is used to implement a compensation control law to cancel the disturbance. By Lyapunov＇s direct method, a rigorous poof shows that the composite error of the closed-loop system can approach zero exponentially. Finally, the proposed method is illustrated by the application to control of an inverted pendulum. Compared with two existing methods, the proposed method demonstrates better performance in tracking error and response time.

关键词： nonlinear control system, harmonic disturbance trajectory linearization control

An overview of the configuration and manipulation of soft robotics for on-orbit servicing

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Science China(Information Sciences) 2017年第8期60卷 6-24页

作者： zhongliang jing Lingfeng QIAO Han PAN Yongsheng YANG Wujun CHEN School of Aeronautics and Astronautics Shanghai Jiao Tong University Space Structures Research Centre Shanghai Jiao Tong University

Soft robots refer to robots that are softer and more flexible when compared with conventional rigidbodied robots. Soft robots are adapted to unstructured environments due to their flexibility, deformability and energy-absorbing properties. Thus, they have tremendous application prospects in on-orbit servicing(OOS).This study discusses the configuration and manipulation of soft robotics. Usually, learning from living beings is used to develop the configurations of most soft robots. In this study, typical soft robots are introduced based on what they mimic. The discussion of manipulation is divided into two parts, namely actuation and *** study also involves describing and comparing several types of actuations. Studies on the control of soft robots are also reviewed. In this study, potential application of soft robotics for on-orbit servicing is analyzed.A hybrid configuration and manipulation of space soft robots for future research are proposed based on the current development of soft robotics, and some challenges are discussed.

关键词： soft robot on-orbit servicing biological inspiration configuration manipulation

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A compressive tracking based on time-space Kalman fusion model

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Science China(Information Sciences) 2016年第1期59卷 120-134页

作者： Xiao YUN zhongliang jing Gang XIAO Bo JIN Canlong ZHANG School of Aeronautics and Astronautics Shanghai Jiao Tong University School of Software Engineering East China Normal University School of Computer Science and Information Technology Guangxi Normal University

The compressive tracking(CT) method is a simple yet efficient algorithm which compresses the high-dimensional features into a low-dimensional space while preserving most of the salient information. This paper proposes a compressive time-space Kalman fusion tracking algorithm to extend the CT method to the case of multi-sensor fusion tracking. Existing fusion trackers deal with multi-sensor features individually and without time-space adaptability. Besides, significant information cumulated in the updating process has not been fully exploited, which calls for a necessity for temporal information extraction. Unlike previous algorithms,the proposed fusion model is completed in both space and time domains. Also, extended Kalman filter is introduced to formulate an updating method for fusion coefficient optimization. The accuracy and robustness of the proposed fusion tracking algorithm are demonstrated by several experimental results.

关键词： fusion tracking compressive tracking time-space Kalman fusion model extended Kalman filter visual tracking

Multisensor image fusion algorithm using nonseparable wavelet frame transform

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Journal of Systems Engineering and Electronics 2005年第4期16卷 728-732页

作者： Li Zhenhua jing zhongliang Wang Hong Sun Shaoyuan Inst. of Aerospace Information and Control School of Electronic Information and Electrical Engineering Shanghai Jiaotong Univ. Shanghai 200030 P. R. China

A muitisensor image fusion algorithm is described using 2-dimensional nonseparable wavelet frame （NWF） transform. The source muitisensor images are first decomposed by the NWF transform. Then, the NWF transform coefficients of the source images are combined into the composite NWF transform coefficients. Inverse NWF transform is performed on the composite NWF transform coefficients in order to obtain the intermediate fused image. Finally, intensity adjustment is applied to the intermediate fused image in order to maintain the dynamic intensity range. Experiment resuits using real data show that the proposed algorithm works well in muitisensor image fusion.

关键词： multisensor image fusion image processing nonseparable wavelet frame transform.

A distributed consensus filter for sensor networks with heavy-tailed measurement noise

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Science China(Information Sciences) 2018年第11期61卷 244-246页

作者： Peng DONG zhongliang jing Kai SHEN Minzhe LI School of Aeronautics and Astronautics Shanghai Jiao Tong University

Dear editor,Distributed state estimation is very important in distributed sensor networks (DSNs)[1]. The consensus estimation can make the sensor networks achieve global consistency according to the data of all nodes [2]. It is very useful for the state estimation of DSNs. The fusion center and full connection between network nodes are not required. The

关键词： A distributed consensus filter for sensor networks with heavy-tailed measurement noise