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IEEE International Symposium on Industrial Electronics (ISIE)

作者： Xianzhong Dai Xin Wang Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education South-East University Nanjing China

The decoupling and linearize (D&L) control of induction motor is an important approach to improve the performance further. The analytical inverse system can realize D&L of nonlinear system when the model is exactly known, but for the induction motor with parameters varying and disturbance, the D&L is destroyed. So the neural network inverse system (NNIS) theory was adapted to approximate the analytical inverse system in order to weaken the couple of rotor flux and speed, the NNIS was designed for the induction motor in the synchronous rotating (dq) reference frame in this paper. Through the analytical inverse system expression we pointed out that the D&L effect is unrelated to the position of d axis. Subsequently, the neural network inverse control (NNIC) structure was proposed. As a special case, the NNIS of induction motor in rotor field oriented (MT) reference frame was also given, the comparison of this NNIC with direct rotor field oriented control (DRFOC) was done and we conclude that it is an improved method of DRFOC. At last, the simulation and experiment were done to test the proposed structures.

关键词： Neural networks Induction motors Nonlinear control systems Voltage control Force control Rotors Nonlinear systems Programmable control Adaptive control control systems

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An Improved Particle Filter for Tracking Color Object

An Improved Particle Filter for Tracking Color Object

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International Conference on Intelligent Computation Technology and Automation, ICICTA

作者： Tao Zhang Shumin Fei Xiaodong Li Hong Lu Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education South-East University Nanjing China

Robust real-time tracking of non-rigid objects is a challenging task. Color is a powerful feature for tracking deformable objects in image sequences with complex backgrounds. Color distribution is applied, as it is robust to partial occlusion, is rotation and scale invariant and computationally efficient. Particle filter has been proven very successful for non-linear and non-Gaussian estimation tracking problems. The article presents the integration of color distributions into particle filtering. A target is tracked with a particle filter by comparing its histogram with the histograms of the sample positions using the Bhattacharyya distance. Additionally, to solve the sample impoverishment (all particles collapse to a single point within a few iterations) in the particle-filter algorithm, a new resampling algorithm is proposed to tackle sample impoverishment. The performance of the proposed filter is evaluated qualitatively on various real-world video sequences. The experimental results show that the improved color-based particle filter algorithm can reduce sample impoverishment effectively and track the moving object very well.

关键词： Particle filters Particle tracking Target tracking Histograms Filtering Video sequences Recursive estimation Particle measurements State-space methods Educational technology

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A Forecasting Model Based Support Vector Machine and Particle Swarm Optimization

A Forecasting Model Based Support Vector Machine and Particl...

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Workshop on Power Electronics and Intelligent Transportation system, PEITS

作者： Qi Wu Hong-Sen Yan Hong-Bing Yang Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education South-East University Nanjing Jiangsu China

In view of the bad forecasting results of the standard epsiv-support vector machine (SVM) for product sale series with the normal distribution noise, a SVM based on the Gaussian loss function named by g-SVM is proposed. And then, a hybrid forecasting model for product sales and its parameter-choosing algorithm are presented. The results of its application to car sale forecasting indicate that the short-term forecasting method based on g-SVM is effective and feasible.

关键词： Forecasting Support vector machines Marketing and sales Predictive models Autoregressive processes Particle swarm optimization Pediatrics

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A Hybrid Forecasting Model Based on Chaotic Mapping and Improved v-Support Vector Machine

A Hybrid Forecasting Model Based on Chaotic Mapping and Impr...

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The 9th International Conference for Young Computer Scientists(第九届国际青年计算机大会)

作者： Qi Wu Hongsen Yan Hongbing Yang Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University Nanjing 210096 China

Aiming at the product demand series with multidimension, small samples, nonlinearity and multi-apex in manufacturing enterprise, chaos theory is combined with support vector machine, and a kind of chaotic support vector machine named C v -SVM is proposed. And then, a product demand forecasting method and its relevant parameter-choosing algorithm are put forward. The results of application in car demand forecasting show that the forecasting method based on C v -SVM is effective and feasible.

关键词： Chaos theory support vector machine embedded genetic algorithm demand forecasting.

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A Study of Deadlock Avoidance Strategy in Knowledgeable Manufacturing systems

A Study of Deadlock Avoidance Strategy in Knowledgeable Manu...

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The 4th International Conference on Wireless Communications, Networking and Mobile Computing(第四届IEEE无线通信、网络技术及移动计算国际会议)

作者： Hongbing Yang Hongsen Yan Qi Wu Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education Southeast University Nanjing Jiangsu P.R.China

Based on the finite automata theory, a thinking of distributed deadlock supervisor is proposed to avoid deadlock in Knowledgeable Manufacturing systems, which is insensitive to system size and improves the efficiency of automata modeling and operating. The conception of the auto-correlation operation is presented, then the corresponding distributed deadlock supervisors are constructed, and thus the deadlock-free strategy of the knowledgeable manufacturing cell is obtained, which can be used to monitor status of the knowledge manufacturing cell in real-time and guarantees safe running of the system. Finally, a case study is presented to demonstrate the feasibility and effectiveness of the proposed strategy.

关键词： Deadlock-free Automata Distributed deadlock supervisor Knowledgeable manufacturing cell

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Finite-Time Tracking control of a Nonholonomic Mobile Robot

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IFAC Proceedings Volumes 2008年第2期41卷 12212-12217页

作者： Zhao Wang Shihua Li Shumin Fei Key Laboratory of Measurement and Control of Complex Systems of Engineering Ministry of Education School of Automation Southeast University Nanjing P.R. China College of Information and Control Engineering China University of Petroleum Dongying 257061 P.R. China

In this paper, the finite-time tracking problem is investigated for a nonholonomic wheeled mobile robot in a fifth-order dynamic model. We consider the whole tracking error system as a cascaded system. Two continuous global finite-time stabilizing controllers are designed for a second-order subsystem and a third-order subsystem respectively. Then finite-time stability results for cascaded systems are employed to prove that the closed-loop system satisfies the finite-time stability. Thus the closed-loop system can track the reference trajectory in finite-time when the desired velocities satisfy some conditions. In particular, we discuss the control gains selection for the third-order finite-time controller and give sufficient conditions by using Lyapunov and backstepping techniques. Simulation results demonstrate the effectiveness of our method.

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New fast phase unwrapping method

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Guangxue Xuebao/Acta Optica Sinica 2008年第2期28卷 259-267页

作者： Gai, Shaoyan Da, Feipeng Key Laboratory of Measurement and Control for Complex System Research Institute of Automation Southeast University Nanjing 210096 China

A new fast and robust phase-coding-unwrapping algorithm is proposed. By alternating the center area of fringes, the code information is added to the phase-shifting fringes, which include not only the primary phase information but also the code information for phase unwrapping. An alteration function is constructed to catch the code information and then give the unwrapped phase. The error and noise of the alteration function is discussed, then a new filter method called directional filtering is proposed to remove the noise, and the mistakes of phase unwrapping are depressed by this method. The simulation and experimental results show the feasibility of the new algorithm. The speed and dependability of the new algorithm are much better than those of the traditional method.

关键词： Light measurement

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Stabilizability of Networked control systems via Packet-loss Dependent Output Feedback controllers

Stabilizability of Networked Control Systems via Packet-loss...

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2008 American control Conference (ACC), vol.9

作者： Junyan Yu Long Wang Mei Yu Yingmin Jia Jie Chen Intelligent Control Laboratory Center for Systems and Control College of Engineering Peking University Beijing China Department of Automation North China Electric Power University Beijing China Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing Institute of Technology Beijing China

We consider the output feedback stabilizability of networked control systems with bounded packet loss. A packet-loss dependent Lyapunov function is adopted to design packet-loss dependent stabilizing output feedback controllers by resolving some linear matrix inequalities. Moreover, two types of packet-loss processes are discussed: one is the arbitrary packet-loss process, and the other is the Markovian packet-loss process. A numerical example and some simulations are worked out to demonstrate the effectiveness of the proposed design technique.

关键词： Networked control systems Output feedback control systems Switched systems State feedback Lyapunov method Linear matrix inequalities Electrical equipment industry Industrial control Sufficient conditions

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Automatic route tracking of smartcar based on fuzzy control

Automatic route tracking of smartcar based on fuzzy control

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World Congress on Intelligent control and Automation (WCICA)

作者： Guiyou Chen Zhenhua Li Ping Yang School of Control Science and Engineering Shandong University Jinan Shandong China Key Laboratory of Complex System and Intelligent Sciences Institute of Automation Chinese Academy of Sciences Chinese Academy of Sciences Beijing China

The principle of fuzzy control and its application in automatic route tracking of smartcar are presented in the paper. The fuzzy controller is established to control the steering servo motor of the smartcar. Simulation of the designed controller based on MATLAB fuzzy logical toolbox is proposed. And the fuzzy controller is realized using freescale fuzzy inference machine. It is successfully applied in the automatic route tracking. The hardware design of the smartcar introduced. Then, the process of establishing the fuzzy controller is described in detail, including the choice of fuzzy input and output variables, linguistic values, domain, input and output membership functions, rule base, fuzzification, rule inference, defuzzification. The validity of the designed controller is verified by MATLAB simulation and actual operating results.

关键词： Fuzzy control Microcontrollers control systems DC motors Servomotors MATLAB Mathematical model

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Packet-loss dependent controller design for networked control systems via switched system approach

Packet-loss dependent controller design for networked contro...

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IEEE Conference on Decision and control

作者： Junyan Yu Long Wang Mei Yu Yingmin Jia Jie Chen Intelligent Control Laboratory Center for Systems and Control College of Engineering Peking University Beijing China Department of Automation North China Electric Power University Zhuxinzhuang Beijing China The Seventh Research Division Beihang University Beijing China Beijing Institute of Technology Key Laboratory of Complex System Intelligent Control and Decision Ministry of Education Beijing China

ISBN: (纸本)9781424431236

The stabilization problem of networked control systems with bounded packet loss is addressed. We model such networked control systems as a class of switched systems, and present sufficient conditions for the stabilization by using a packet-loss dependent Lyapunov function. Moreover, different from existing results, we propose the design for packet-loss dependent stabilizing controllers for two types of packet-loss processes: one is a arbitrary packet-loss process, and the other is a Markovian packet-loss process. Several numerical examples and simulations are worked out to demonstrate the effectiveness of the proposed design technique.

关键词： control systems Networked control systems Switched systems Sufficient conditions Optimal control Delay effects Communication system control Communication system traffic control Feedback control Electrical equipment industry

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