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The Research on Sensorless control of Permanent Magnet Synchronous using SMC and SMO

IOP Conference Series: Materials Science and Engineering 2020年第1期717卷

作者： Li Daoqi Xiong Xinhong Zhang Guoqing Zhang Yanhui Zuo Rui Feng Wei School of Logistics Engineering Wuhan University of Technology Wuhan 430070 China Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China Guangdong Provincial Key Lab of Robotics and Intelligent System Shenzhen Institutes of Advanced Technology Chinese Academy of Sciences Shenzhen 518055 China CAS Key Laboratory of Human-Machine-Intelligence Synergic Systems Shenzhen Institutes of Advanced Technology Shenzhen 518055 China

This work proposes a way to achieve the sensorless control of permanent-magnet synchronous motor using sliding mode controller (SMC) and Sliding Mode Observer(SMO). In this Paper, the SMC is designed to replace the speed control loop PI controller from the original permanent magnet synchronous motor control system with the sliding mode variable structure control theory. Combined with the modified SMO, the 'SMC and modified SMO' motor control system is proposed. Compared with the 'PI and modified SMO' mode, the performance of the motor control is increased substantially, the interference torque speed attenuation is decreased by 87.5%, and the speed control error was also reduced by 67.7%. There is no overshoot with the reaction speed, and significant improvement in response speed, anti-interference performance, control accuracy and observation precision are achieved. Overall, both the system control and observation performance are significantly improved.

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Parallel Driving in CPSS:A Unified Approach for Transport Automation and Vehicle intelligence

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IEEE/CAA Journal of Automatica Sinica 2017年第4期4卷 577-587页

作者： Fei-Yue Wang Nan-Ning Zheng Dongpu Cao Clara Marina Martinez Li Li Teng Liu IEEE State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences Research Center for Military Computational Experiments and Parallel Systems Technology National University of Defense Technology Institute of Artificial Intelligence and Robotics Xi’an Jiaotong University Advanced Vehicle Engineering Center Cranfield University Department of Automation Tsinghua University State Key Laboratory of Management and Control for Complex Systems Institute of AutomationChinese Academy of Sciences Qingdao Huituo Intelligent Machine Company

The emerging development of connected and automated vehicles imposes a significant challenge on current vehicle control and transportation systems. This paper proposes a novel unified approach, Parallel Driving, a cloud-based cyberphysical-social systems(CPSS) framework aiming at synergizing connected automated driving. This study first introduces the CPSS and ACP-based intelligent machine systems. Then the parallel driving is proposed in the cyber-physical-social space,considering interactions among vehicles, human drivers, and information. Within the framework, parallel testing, parallel learning and parallel reinforcement learning are developed and concisely reviewed. Development on intelligent horizon(iHorizon)and its applications are also presented towards parallel *** proposed parallel driving offers an ample solution for achieving a smooth, safe and efficient cooperation among connected automated vehicles with different levels of automation in future road transportation systems.

关键词： ACP theory connected automated driving cyber-physical-social systems(CPSS) iHorizon parallel driving parallel horizon parallel learning parallel reinforcement learning parallel testing

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Proposing,QP-Unification and Verification of DLSM Based MKE-IIWT Scheme for Redundant Robot Manipulators 3

Proposing,QP-Unification and Verification of DLSM Based MKE-...

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2017 IEEE 第3届信息技术与机电一体化工程国际学术会议(ITOEC 2017)

作者： Yunong Zhang Min Yang Dechao Chen Weibing Li Dongsheng Guo Xiaogang Yan School of Information Science and Technology Sun Yat-sen University(SYSU) SYSU-CMU Shunde International Joint Research Institute Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education

To remedy the problem of joint-variable oscillation and instability as well as the non-zero final joint-velocity phenomenon arising in the conventional inertia-inverse weighted torque(IIWT) minimizati

ISBN: (纸本)9781509053643;9781509053636

关键词： Manipulators Torque Minimization Acceleration Kinetic energy Performance analysis

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Type-z0g3 controller of Output Tracking for Fractional Power system 3

Type-z0g3 Controller of Output Tracking for Fractional Power...

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2017 IEEE 第3届信息技术与机电一体化工程国际学术会议(ITOEC 2017)

作者： Yunong Zhang Fangzheng Lai Penghao He Jinjin Wang Dechao Chen School of Information Science and Technology Sun Yat-sen University(SYSU) SYSU-CMU Shunde International Joint Research Institute Key Laboratory of Autonomous Systems and Networked Control Ministry of Education Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education

Because most systems are nonlinear in practical applications,output tracking for nonlinear system is of great interest to engineers and *** a specific class of nonlinear system,fractional po

ISBN: (纸本)9781509053643;9781509053636

Because most systems are nonlinear in practical applications,output tracking for nonlinear system is of great interest to engineers and *** a specific class of nonlinear system,fractional po

关键词： Trajectory Nonlinear systems Simulation Power system stability Sun

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Discrete-Time control and Simulation of Ship Course Tracking Using ZD Method and ZFD Formula 4NgSFD 3

Discrete-Time Control and Simulation of Ship Course Tracking...

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2017 IEEE 第3届信息技术与机电一体化工程国际学术会议(ITOEC 2017)

作者： Yunong Zhang Huinan Xiao Jinjin Wang Jian Li Pei Chen School of Information Science and Technology Sun Yat-sen University(SYSU) Key Laboratory of Autonomous Systems and Networked Control Ministry of Education SYSU-CMU Shunde International Joint Research Institute Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education

This paper focuses on solving the ship course tracking problem by using Zhang dynamics(ZD) method and a new Zhang finite difference(ZFD) *** ZD method,which is a powerful class of dynamics to

ISBN: (纸本)9781509053643;9781509053636

This paper focuses on solving the ship course tracking problem by using Zhang dynamics(ZD) method and a new Zhang finite difference(ZFD) *** ZD method,which is a powerful class of dynamics to

关键词： Marine vehicles Trajectory Electronic mail Process control Convergence Mathematical model

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ZG controllers Handling VIP system with Nonzero Link Mass,Large Friction Coefficient and Different Initial Pendulum Angle 3

ZG Controllers Handling VIP System with Nonzero Link Mass,La...

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2017 IEEE 第3届信息技术与机电一体化工程国际学术会议(ITOEC 2017)

作者： Yunong Zhang Jinjin Wang Binbin Qiu Deyang Zhang Yang Shi School of Information Science and Technology Sun Yat-sen University(SYSU) Key Laboratory of Autonomous Systems and Networked Control Ministry of Education SYSU-CMU Shunde International Joint Research Institute Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education

The vehicular inverted pendulum(VIP) system is one of the most important issues in dynamics and control theory,and has been widely used as a benchmark for testing control ***,the tracki

ISBN: (纸本)9781509053643;9781509053636

The vehicular inverted pendulum(VIP) system is one of the most important issues in dynamics and control theory,and has been widely used as a benchmark for testing control ***,the tracki

关键词： Trajectory Vehicle dynamics Mathematical model Friction Electronic mail Heuristic algorithms

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Self-triggered control of heterogeneous multiagent systems with input saturation

Self-triggered control of heterogeneous multiagent systems w...

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第37届中国控制会议

作者： Shengli Du Di Wu Yongfeng Gao Xu Li the College of Automation Faculty of Information Technology Beijing University of Technology the Beijing Key Laboratory of Computational Intelligence and Intelligent System the School of Control Science and Engineering Dalian University of Technology the School of Aeronautics and Astronautics Dalian University of Technology

This paper is concerned with the semi-global output synchronization problem of a heterogeneous network under selftriggered control. A distributed self-triggered control scheme in which only local information is used to compute the triggering instants is proposed. In addition, the Zeno behavior can be excluded in the designed scheme. By adopting the low-gain technique, it is shown that the input saturation nonlinearity can be avoided if the parameter of the parameterized feedback gain is chosen small enough. The algorithm for implementing the selftriggered rule is also presented in the paper.

关键词： Output synchronization input saturation selftriggered control multiagent system

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Euler-Discretized GZ-Type Complex Neuronet Computing Real-Time Varying Complex Matrix Inverse 36

Euler-Discretized GZ-Type Complex Neuronet Computing Real-Ti...

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第36届中国控制会议

作者： Yunong Zhang Guofu Wu Binbin Qiu Wan Li Penghao He School of Information Science and Technology Sun Yat-sen University(SYSU) Key Laboratory of Autonomous Systems and Networked Control Ministry of Education SYSU-CMU Shunde International Joint Reseach Institute Key Laboratory of Machine Intelligence and Advanced Computing(Sun Yat-sen University) Ministry of Education

ISBN: (纸本)9781538629185

In this paper,a GZ-type complex neuronet（generated by combining gradient dynamic system and Zhang dynamic system） is illustrated and discretized into an Euler-discretized（i.e.,discretized by Euler forward rule） GZ-type complex neuronet for computing real-time varying complex matrix *** results not only show the efficacy of the proposed Eulerdiscretized GZ-type neuronet but also verify that the error pattern is square.

关键词： GZ-Type Neuronet Complex Matrix Inverse Euler Forward Rule Computer Simulation Error Pattern

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Multi-pose moving human detection from a patrol robot in real-time 49

Multi-pose moving human detection from a patrol robot in rea...

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49th International Symposium on Robotics, ISR 2017

作者： Wu, Qingtian Guo, Huiwen Key Laboratory of Human-Machine Intelligence Synergic Systems Shenzhen Institutes of Advanced Technology Chinese Acad. of Sci. Guangdong Provincial Key Laboratory of Robotics and Intelligent System China Shenzhen College of Advanced Technology University of Chinese Academy of Sciences China

In this paper, a multi-pose human detection system is presented for a patrol robot in real-time. 20 fps (frame per second) and a satisfying detection accuracy of multi-pose human detection in complex outdoor environments can be achieved in the system with no additional special hardware like GPU (graphics processing unit). First, 30,000 positive samples with various appearances are selected manually from different camera angles and are used to train the convolutional neural network (CNN) classifier. Secondly, optical flow of two successive frames taken by on-board camera is used to extract region of interests (ROIs) and a series of post-processing methods, i.e., average filtering, morphological operation and extraction of outer contour are applied for the real-time requirement. Thirdly, a two-stream CNN combining appearance and motion information are applied to reduce the false detection accuracy. Field experiments in complex outdoor environments have been performed to verify that the proposed system can be used to detect multi-pose humans with high detection accuracy in realtime. © 49th International Symposium on Robotics, ISR 2017. All rights reserved.

关键词： Graphics processing unit

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Wheeled Mobile Robot Based on Adaptive Linear Quadratic Gaussian control 29

Wheeled Mobile Robot Based on Adaptive Linear Quadratic Gaus...

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第29届中国控制与决策会议

作者： Yubin Liao Yongsheng Ou Shan Meng Guangdong Provincial Key Laboratory of Robotics and Intelligent System Shenzhen Institutes of Advanced TechnologyChinese Academy of Sciences Shenzhen College of Advanced Technology University of Chinese Academy of Sciences CAS Key Laboratory of Human-Machine Intelligence-Synergy Systems Shenzhen Institutes of Advanced TechnologyChinese Academy of Sciences Shenzhen University

ISBN: (纸本)9781509046584

To deal with the existing issues of input saturations and uncertain positioning corrupted by Gaussian noises in the tracking control of Wheeled Mobile Robot(WMR),this paper presents a framework which applies the Adaptive Linear Quadratic Gaussian(ALQG) control with Genetic Algorithm based on linear discrete *** work of ALQG includes three ***,to address the problem of input saturations,we consider a linear discrete system as the Lagrangian multiplier and saturation constraint as the inequality constraint,and the linear quadratic controller with the penalty function as the objective function is solved by the interior point ***,in the above implementation of Linear Quadratic Regulator control,the weighting matrix under different conditions may result in different tracking *** address this issue,weighting matrices of different initial poses and reference trajectories are adaptively explored by Genetic Algorithm with control performance indexes as constraint functions,and the optimal weighting matrix is final ***,concerning the uncertainty problem in positioning,the Kalman Filter algorithm with real-time measurement of the disturbed position of the posture filter is applied in real time to obtain more accurate *** ALQG simulation of the WMR is carried out in the MATLAB software platform,and the tracking quality of the ALQG is discussed *** results show that the trajectory tracking controller of wheeled mobile robot based on ALQG can track the target trajectory stably and has good anti-interference abilities.

关键词： Mobile Robot Trajectory Tracking Linear Quadratic Gaussian control

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