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Design and Implementation of Low-power SRM control system

IFAC-PapersOnLine 2015年第28期48卷 269-272页

作者： Lu, Cheng-Ling Zhang, Gang Du, Cheng-Tao Institute of Quantum Control and Automation Department of Mechanical and Electronic Engineering West Anhui University Lu'an237012 China

The control system of Low-power switched reluctance motor(SRM) is complex, Which is not widely used. This paper presents a low-power SRM control system, which is simple and easy to *** depending on the control system design of hardware and software, constructed experimental platform. Obtained data of SRM speed from the experimental platform and analyzed, Verified the reliability and feasibility of the control *** control system is simple, low investment costs, Which provides a reference for the application of the same type lowpower SRM. © 2015

关键词： Power control control systems controllers Power converters Reluctance motors Constrol system Design and implementations Experimental platform Investment costs Low Power Switched Reluctance Motor

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LQG controller Design Applied to a Pneumatic Stewart-Gough Platform

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International Journal of automation and computing 2012年第1期9卷 45-53页

作者： Karmjit Singh Grewal Roger Dixon John Pearson Control System Group Department of Electronic and Electrical EngineeringLoughborough University Systems Engineering Innovation Centre(SEIC) British Aerospace and Marconi Electronic Systems(BAE Systems)

This paper is concerned with the practical application control of a pneumatically actuated Stewart-Gough platform with 6-degrees of freedom （6-DOF）. The control approach for motion control of the platform is presented using a modern control technique, namely, linear quadratic Gaussinn （LQG） with reference tracking. The LQG controller is the combination of a Kalman filter, i.e., a linear-quadratic estimator （LQE） with a linear-quadratic regulator （LQR）. The robustness of the control scheme is accessed under various load conditions, and the experimental results are shown.

关键词： Real-time control Kalman filter inverse kinematics pneumatic actuation Stewart-Gough platform

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Tracking for near space nonballistic target based on several filter algorithms 34

Tracking for near space nonballistic target based on several...

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第三十四届中国控制会议

作者： QIN Lei ZHOU Di LI Jun-long Beijing Institute of Electronic System Engineering Department of Control Science and Engineering Harbin Institute of Technology

ISBN: (纸本)9781467374439

Recently, different countries have made rapid developments in the field of near space hypersonic vehicles. Among which successful hypersonic vehicle flight tests of X-51 A and HTV-2 are representative. They often adopt the way of nonballistic maneuver flight with characteristics of high speed and lift-to-drag ratio, flying in atmosphere for a long time. Their motion trajectory is sometimes characterized by "hopping", which induces difficulties of nonballistic target acceleration estimation, trajectory tracking and prediction. This paper introduces four typical nonballistic maneuver models of near space targets, and then introduces target ballistic equation and design of tracking filter. At last, four tracking filters are used to estimate target acceleration. Simulation results show that particle filter algorithm is the best one to guarantee the target tracking accuracy within allowable ranges.

关键词： Nonballistic target Near space Target maneuver Tracking filter

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Tracking Filter for Nonballistic Targets in the Near Space Based on Modified Variable Structure Interacting Multiple Model 29

Tracking Filter for Nonballistic Targets in the Near Space B...

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第29届中国控制与决策会议

作者： Lei Qin Di Zhou Jun-long Li Beijing Institute of Electronic System Engineering Department of Control Science and Engineering Harbin Institute of Technology

ISBN: (纸本)9781509046584

As the representative of hypersonic vehicles in the near space,X-51 A and HTV-2 with high speed and irregular acceleration often adopt nonballistic maneuver flight motion,which is hard to be accurately *** paper focuses on three typical nonballistic maneuver models of near space targets,and proposes a new Modified Variable Structure Interacting Multiple Model(MVSIMM) *** the three nonballistic maneuver models,simulation results show that the MVSIMM algorithm is better than Fixed-Structure Interacting Multiple Model(FSIMM) filter algorithms.

关键词： Nonballistic Near Space Mathematical Models of Maneuver Motion Modified Variable Structure Interacting Multiple Model(MVSIMM)

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Constrained Energy Efficiency Optimization for Robotic Manipulators Using Neuro-dynamics Approach 34

Constrained Energy Efficiency Optimization for Robotic Manip...

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第三十四届中国控制会议

作者： XU Peng WANG Liyang LI Zhijun SU Chun-Yi The Key Lab of Autonomous System and Network Control Ministry of Education and College of Automation Science and Engineering South China University of Technology Department of Electronic Engineering Shunde Polytechnic

ISBN: (纸本)9781467374439

In the paper, a neurodynamic-based energy efficiency optimization strategy(NEE-OS) is proposed to decrease the energy expenditure of robotic manipulators. Different from the traditional approaches, the proposed NEE-OS integrates several necessary constrains from the environment and the robotic manipulator, which could affect energy consumptions of the robotic manipulator in engineering applications to a large extent. To handle the constraints formulated as equalities and inequalities, the energy efficiency optimization problem is converted into a constrained quadratic programming(QP) problem, which is solved using a linear variable inequality-based primal-dual neural network(PDNN) efficiently.

关键词： robotic manipulator,energy optimization,quadratic programming,neural network

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An Optimal control-Based Distributed Reinforcement Learning Framework for A Class of Non-Convex Objective Functionals of the Multi-Agent Network

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IEEE/CAA Journal of Automatica Sinica 2023年第11期10卷 2081-2093页

作者： Zhe Chen Ning Li Department of Automation Shanghai Jiao Tong UniversityShanghai 200240 Key Laboratory of System Control and Information Processing Ministry of Education of ChinaShanghai 200240 Shanghai Engineering Research Center of Intelligent Control and Management Shanghai 200240China Department of Automation Tsinghua UniversityBeijing 100084China IEEE

This paper studies a novel distributed optimization problem that aims to minimize the sum of the non-convex objective functionals of the multi-agent network under privacy protection, which means that the local objective of each agent is unknown to others. The above problem involves complexity simultaneously in the time and space aspects. Yet existing works about distributed optimization mainly consider privacy protection in the space aspect where the decision variable is a vector with finite dimensions. In contrast, when the time aspect is considered in this paper, the decision variable is a continuous function concerning time. Hence, the minimization of the overall functional belongs to the calculus of variations. Traditional works usually aim to seek the optimal decision function. Due to privacy protection and non-convexity, the Euler-Lagrange equation of the proposed problem is a complicated partial differential ***, we seek the optimal decision derivative function rather than the decision function. This manner can be regarded as seeking the control input for an optimal control problem, for which we propose a centralized reinforcement learning(RL) framework. In the space aspect, we further present a distributed reinforcement learning framework to deal with the impact of privacy protection. Finally, rigorous theoretical analysis and simulation validate the effectiveness of our framework.

关键词： Distributed optimization multi-agent optimal control reinforcement learning(RL)

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Functional Model and Stability Analysis of 18-Pulse Auto-Transformer Rectifier Unit（ATRU） 3

Functional Model and Stability Analysis of 18-Pulse Auto-Tra...

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2017 3rd IEEE International Conference on control Science and systems engineering (ICCSSE)

作者： Muhammad Saad Yong-Feng Ju Shahbaz Khan Husan Ali Bakht Muhammad Khan Department of Electronic and Control Engineering Chang'an University School of Automation Northwestern Polytechnical University

ISBN: (纸本)9781538604854

This work mainly focuses on designing and modeling of 18-pulse autotransformer rectifier unit. The dq rotating reference frame（Park’s Transformation） is used to design the average model. Polynomial fits are required to build up from essential parameters like α, kv and ki that must be extracted from switching model or actual setup. The designed model is computationally efficient, time invariant and has the key advantage of reduced simulation time, less convergence errors and having no numerical instabilities. The designed average model provides a much more accurate representation of the system dynamics both in frequency as well as in time domain. For this purpose, 18-pulse delta type autotransformer rectifier unit（ATRU） is modeled and analyzed for small signal behavior in order to realize the overall system stability. Finally average model is validated with hardware setup of 2 k VA prototype and its results are found to be closely matching with those of switching and average model proving the accuracy and reliability of the proposed model. Hence using these average models can greatly reduce the time consumption by avoiding mathematical instabilities while maintaining efficiency up to the mark on the other side.

关键词： more electric aircraft（MEA） ATRU prototype symmetric THD dq0 park’s transformation

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Bandwidth Allocation with Minimum Rate Constraints in Cluster-based Femtocell Networks

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International Journal of automation and computing 2015年第1期12卷 77-82页

作者： Kai Ma Liang Li Jie Yang Zhi-Xin Liu Xin-Bin Li Xin-Ping Guan School of Electrical Engineering Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information ProcessingMinistry of Education

Inter-femtocell interference becomes serious when femtocells are densely deployed. To mitigate the inter-femtocell interference, this paper proposes a cluster-based bandwidth allocation algorithm. We create femtocell clusters by constructing a weighted interference graph and allocate bandwidth to each cluster based on a Nash bargaining solution(NBS). Simulation results show that the cluster-based bandwidth allocation algorithm can reduce the inter-femtocell interference and meet the minimum rate constraint of each cluster.

关键词： Femtocell cluster inter-femtocell interference bandwidth allocation Nash bargaining solution(NBS)

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Distributed state estimation and data fusion in wireless sensor networks using multi-level quantized innovation

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Science China(Information Sciences) 2016年第2期59卷 217-231页

作者： Zhi ZHANG Jianxun LI Liu LIU Department of Automation Shanghai Jiao Tong University Key Laboratory of System Control and Information Processing Ministry of Education of China College of Telecommunications & Information Engineering Nanjing University of Posts and Telecommunications

Low energy consumption and limited power supply are significant factors for wireless sensor networks(WSNs); thus, distributed state estimation and data fusion with quantized innovation are explored. The universal features of practical WSNs are investigated, and a dynamic transmission strategy is introduced. Furthermore,quantization state estimation based on Bayesian theory is derived. Unlike previous algorithms suitable for processing scalar measurement, the proposed distributed data fusion algorithm is applicable to general vector measurement. Furthermore, the efficiency of the proposed dynamic transmission strategy is analyzed. It is concluded that the proposed algorithm is more efficient than previous methods, and its estimation accuracy comparable to that of the standard Kalman filtering, which is based on analog-amplitude vector measurement.

关键词： data fusion distributed state estimation target tracking Kalman filtering quantization wireless sensor networks

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A branch convergence approach to distributed dynamic service composition

A branch convergence approach to distributed dynamic service...

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International Conference on Advanced Computer Theory and engineering

作者： Ma, Lin Zhu, Ming Wang, Lei Department of Electronic Engineering and Information Science Key Laboratory of Network Communication System and Control CAS Hefei China Department of Automation Key Laboratory of Network Communication System and Control CAS Hefei China

ISBN: (纸本)9781424465408

Web Service composition is a very promising way to generate new services on service oriented architecture (SOA). It will come across subsequent branch convergence problem when implementing parallel process in the distributed environment, which is some parallel branches can't converge at one executive node. In this paper, we introduce a Branch Convergence Approach based on Common Node (BCACN) to solve this problem. A common node which is chosen before branches converging, make a decision to choose a convergent node, such that all subsequent branches can merge into an executive node. Experimental studies demonstrate the effectiveness of the proposed approach. © 2010 IEEE.

关键词： Information services

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