Hexu Sun

Optimization design of Switched Reluctance Motor based on Particle Swarm Optimization

This paper introduces the Particle Swarm Optimization (PSO) in order to solve the problem that the current stochastic and deterministic optimization methods have not yet obtained the perfect solution to avoid local optimal solution, and the optimal search convergence speed is slow. According to the special nature of Switched Reluctance Motor (SRM) and its design features, the paper enhances PSO global search capability by adjusting and improving conventional algorithm. Finally, this paper describes the design optimization procedure of SRM using the improved PSO with the objective of maximizing average torque and minimizing torque ripple. PSO optimizes the motor design and achieved satisfactory results. The results are compared with GA based on a standard 1.1kW, 8/6 pole, 4 phases SRM. The obtained results are encouraging and verified using Finite Element Analysis (FEA), and the results mean that the adaptive PSO has shown promising success in the design optimization of SRM.

The Design of Manufacturing Execution System Based on RFID

From the supply chain, now RFID technology is gradually applied to the core of manufacturing process. By adopting the RFID technology in workshop layer, the exact real-time information that is obtained from RFID, can be seamlessly integrated into the manufacturing execution system. Therefore it can create additional value, and increase productivity for the enterprise. The technical advantages of applying RFID technology to the manufacturing execution system are analyzed detailedly by this paper. Taking the textile industry as object, the design of manufacturing execution system based on RFID is presented by this paper. And it provide perfection system solution for enterprise realizing real-time informatization.

Control and application of chaos in electrical system

Chaos and its application in electrical system are studied in this paper. The simulation of chaos is presented. Some measures against the harm caused by chaos of ferroresonance are summarized. A utility scheme of chaos in the electrical system for steel smelting is suggested on the base of chaos controlling.

Kinematics and constraint analysis of tractor-trailer mobile robot

Tractor-trailer mobile robot is a complicated system composed of a tractor and multiple trailers. Its path planning is complicated accordingly. The kinematics of the system is analyzed in this paper on the base of band-path concept. The transient parameters in the dynamic motion presented in this paper make the collision avoidance and path seeking easier. It also provides a kinematics model for the simulation.

Microstep position control of switched reluctance motors

In this paper a theoretical analysis of switched reluctance motors (SRMs) position servo system is discussed based on the inherent structure of SRM. Because of large step angle of SRM the position precision is influenced. A microstep control strategy is proposed in this paper to decrease the step angle and improve the position precision. A fuzzy logic based controller is designed to realize the position control. Simulation shows that this method can effectively improve the positioning precision of the position servo system and can reduce the torque ripple.

Ultra-capacitor control strategy of EV with energy hybridization

The application of ultra-capacitor used in multi-energy battery system on EV is introduced in this paper, and an energy management strategy of ultra-capacitor is proposed. With this strategy, the state of charge (SOC) of the ultra-capacitor should be kept at a proper level according to different speeds of the vehicle. Before accelerating, the SOC should be high enough to supply an extra large current for batteries. Vise versa, before braking, the SOC of the ultra-capacitor should be empty out for large regenerated energy. The model of this control strategy based on multi-energy EV is established, and simulated with use of the MATLAB/Simulink. Then the characteristics of maximum output power and efficiency of the ultracapacitor is studied. Based on these works, reliable protection and better performance of the multi-energy battery system become possible.

Throughput analysis of GTS allocation in beacon enabled IEEE 802.15.4

IEEE 802.15.4 defines the physical layer and medium access control sub-layer specifications for low-data-rate wireless connectivity devices with very limited battery consumption requirements typically operating in the personal operating space. Unlike traditional wireless networks, its unique characteristics, such as low-data-rate and guaranteed time slots (GTS), have brought unprecedented challenges in the area of Quality of Service (QoS) research. Based on the OPNET Modeler, IEEE 802.15.4 simulation model is proposed for studying the data throughput of the allocated GTS, impacted by the super-frame order (SO), the arrival data rate and the buffer capacity. The result shows that, for low arrival data rates and low buffer capacities, high SO values are not suitable for ensuring efficient usage of the GTS in terms of data throughput.

Research on Mixed Traffic Scheduling of Networked Control Systems Based on CAN Bus

With the increasing of the message transmitted in network control system, the old scheduling couldn’t satisfy the requirement. A new mixed traffic schedule is proposed based on the communication principle of controller area network and Network scheduling and analysis of schedule. The simulation platform was created for simulation of Networked control system based on MATLAB/True-Time toolbox, construed the new schedule affected the control system, quick response and great real-time.

Time-Delay Compensation Control of Networked Control Systems Using Timestamp Based State Prediction

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.

The research of stator current oriented method of switched reluctance motor

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.