This paper presents a novel control method of switched reluctance motor (SRM) along with stator current oriented method. This method will minimize the torque ripple while reducing the step angle. By analyzing the current of SRM in terms of torque and rotor position, a current distribution function can be acquired. Then a nonlinear magnetizing model is used to detect rotor position. The current distribution function will decide the given current of corresponding stator winding with the current position information by the nonlinear magnetizing model and the expected position information. By this method, the SRM will be stabled at expected position with expected torque. It has been experimentally verified that this method can effectively reduce the torque ripple and improve the position precision of the servo control system.
In order to compensate time-delay in the networked control system (NCS), the paper presents a state prediction control method which adopted time-stamp. At first, we studied a time-stamp based time-delay measuring algorithm of NCS and implemented the state prediction based time-delay compensation control to the system. Then, we proposed a state prediction control approach of establishing an approximate model to object states in the controller and actuator time-driven. With that, we designed a state prediction controller to make the system achieve prediction control and deduced the necessary and sufficient conditions for stabilizing the system. At last, the simulation results of the numerical example prove the validity of the proposed approach.2008 ISECS International Colloquium on Computing, Communication, Control, and Management 978-0-7695-3290-5/08 $25.00
Centroid algorithm, as relatively simple, depends upon the connectivity of WSN and nodes density, in which the error of node orientation is high, the calculation for the minimum error is too large and the time which it takes too long. In this paper, centroid algorithm is improved by weighted vector to enhance precision of node localization, at the same time, particle swarm optimization is used to fast the speed of convergence. As is shown in the simulation results, compared with the least square method, our new algorithm has higher positioning accuracy and decreases rapidly with few cycles. Keywords-centroid algorithm; weighted vector; PSO; least square method I. INTRODUTIONWireless sensor networks (WSN) have gained worldwide attention in recent years, particularly with the proliferation in Micro-Electro-Mechanical Systems (MEMS) technology which has facilitated the development of smart sensors. These sensors are small, with limited processing and computing resources, and they are inexpensive compared to traditional sensors. These sensor nodes can sense, measure, and gather information from the environment and, based on some local decision process, they can transmit the sensed data to the user [1].Localization, for a sensor to determine its location information has become an attractive research issue in WSN. Much previous research has proposed numerous localization schemes, which are generally classified into range based and range-free localization schemes, depending on the use of distance (range) or angle estimate [2]. GPS is a wide-area system for sensor localization, but extremely expensive and energy-consuming properties make it impractical to be installed in a sensor. Other range based schemes, including RSSI, AoA and ToA/TDoA approaches achieve sensor positioning, but have constraints in hardware cost (e.g., GPS receiver or smart/directional antenna).Unlike the range-based technique, the range-free scheme enables sensors to learn their location information without the aid of range estimates. Such techniques, like APIT [3], and MDS [4], DV-hop [5] generally require numerous 2011 Fourth International Symposium on Computational Intelligence and Design 978-0-7695-4500-4/11 $26.00
Real-time production information is important to enterprise for improving management. Therefore, the RFID technology can be used in production to obtain real-time information, which is integrated into the manufacturing execution system, and the decision of management can be real-time transferred to production floor. The production process of textile industry is analyzed by this paper. Considering the technical advantages of RFID, the model of real-time manufacturing execution system based on RFID and perfection system solution is presented by this paper.
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