Youping Chen

Design of Printed-Circuit Board Rogowski Coil for Highly Accurate Current Measurement

The structure design and optimization of printed-circuit board Rogowski coil (PCBRC) used to highly accurate measurement of alternative current are discussed in detail in this paper. The performance tests of PCBRC show that PCBRC are of excellent linearity, temperature characteristic and rejection of EMI, and can achieve 0.1 or 0.2 s accuracy class (IEC60044-8 standard). It can fulfill the demands of energy measurement in power systems.

Design of an Inductive Long Displacement Measurement Instrument

To enlarge the measuring range of inductive displacement sensor, the proposed displacement measurement instrument consists of four elements: the first is a movable coil with short length supplied with DC voltage. The second is a fixed iron rod acting as a core, its shape is designed carefully and the cross-section is varying along the axis. The third is an iron cover. It works as the external path of magnetic flux. When the coil moves on the rod, the current induced in the coil is proportional to the axis-direction displacement of the iron rod. The last one is a measurement circuit used to transform the current signal to the voltage signal and then processed by a microprocessor. This sensor offers excellent features of smart structure, low cost, large sensing length (1400mm), high accuracy (0.5%) and good linearity. An application of this instrument has been put on use in the underwater displacement measurement of a water station lift-gate control system

Mobile Robot Localization Based on Extended Kalman Filter

The mobile robot localization methodologies in common use at present have been introduced. A localization algorithm based on extended Kalman filter (EKF) has been proposed on the basis of environment feature extraction and map building, which can reduce the error in the calculation of the robots position and orientation. The method is that the mobile robot analyses and fuses the messages in surroundings from multiple sensors by EKF theory, which enables the robot to identify the surrounding objects clearly and guide itself successfully. The simulation and experimental results show that the proposed localization method is effective

Distributed Temperature Control System Based on Multi-Sensor Data Fusion

Temperature control system has been widely used over the past decades. In this paper, a general architecture of distributed temperature control system is put forward based on multi-sensor data fusion and CAN bus. A new method of multi-sensor data fusion based on parameter estimation is proposed for the distributed temperature control system. The major feature of the system is its generality, which is suitable for many fields of large scale temperature control. Experiment shows that this system possesses higher accuracy, reliability, good real— time characteristic and wide application prospect.

System structure for FPGA-based SOPC design using hard tasks

In this paper, the authors present a system structure for FPGA-based SOPC (system on programmable chip) design which uses an embedded processor to do scheduling to the HDL modules as its hard tasks. This kind of structure is implemented on the NIOS-II system offered by ALTERA and uses muC/OS-II as a real-time kernel in the embedded soft processor. The structure of the system is introduced in details on hard tasks, resources, processor and their relationships. A video capture card which is used for medical video capture and processing is also presented as an example to show the implementation and advantage of the structure for a complex embedded system.

Control methodologies in networked motion control systems

Based on the investigation of the application of control networks to synchronized motion control, in this paper, several control networks for motion control have been introduced. Three configurations of networked synchronized motion control systems have been studied with a simulation example and also the effects of the communication cycle have been analyzed.

Study on Coordination in Multi-Agent-Based Agile Supply Chain Management

One of the most important tasks of the agile supply chain management(ASCM) is to reconfigure a supply chain quickly based on the customers’ requirement. Without more sophisticated cooperation and dynamic formation in an agile supply chain, it cannot achieved for mass customization, rapid response and high quality services. Because of its great potential in supporting cooperation for the supply chain management, agent technology can carry out the cooperative work by inter-operation across networked human, organization and machines at the abstractive level in a computational system. A major challenge in building such a system is to coordinate the behavior of individual agent or a group of agents to achieve the individual and shared goals of the participants. In this paper, the agent technology is used to support modeling and coordinating of supply chain management. Because two types of agents, namely cooperated agents and self-interested agents, are used in the supply chain, their characteristics are analyzed and then two different methods are put forward for the solutions, that is the distributed scheduling and centered making decision(DSCM) for cooperated agents and the hierarchical distributed coordination (HDC) for self-interested agents.

An optical fiber sensor based on absorption spectroscopy for carbon monoxide detection

An optical fiber sensor based on absorption spectroscopy has been developed for the determination of carbon monoxide (CO) in the harsh environment. Conventional gas sensor used to detect carbon monoxide concentration is often difficult to achieve high sensitivity, selectivity, and specificity in presence of a mixture of gases. This sensor uses DFB LD as light source, low cost near-infrared components, and differential optical absorption spectroscopy. The experimental results indicated that the sensor has been developed to operate with high sensitivity and stability so it does not suffer from other gases interferences. The lower limit of detection for the sensor was found to be not less than 50 ppm for carbon monoxide.

An Improved Neural Network for Solving Optimization of Quadratic Programming Problems

For the quadratic programming problems with both equality and inequality constraints, an improved neural network is proposed based on the Lagrange function reconstructed based on the saddle point theorem of optimization theory. The proposed neural network has less neuron quantity than the traditional method with slack variables does. The stability and convergency of the proposed neural network is investigated. The feasibility of the neural network is verified with computation examples are discussed. The simulation results illustrate the proposed neural network have an effective computational capability and performance for optimization of the quadratic programming problems

An improved fuzzy system for position control of permanent magnet linear motor

In this paper, a fuzzy system with stable value is proposed to promote the traditional fuzzy controller and to be applied to position control of the permanent magnet linear motor. By a partition of error and change of error, the proposed fuzzy system can be used in a traditional fuzzy controller and can be switched to preceding a stable output control smoothly. For PMLM control system, the output of position control can be divided into a stable value and a changing one when the controlled system is close to stable state. A stable parameter value is acquired from the output of a traditional fuzzy controller when the controlled system comes into the stable state. And the stable parameter value can be tuned by a designed integral part so as to alleviate the static error. Simulation results show the improved fuzzy system has a higher performance than the traditional PID and the traditional fuzzy controller. The experiment results also verify that it has high precision in position control of PMLM.