Applied Mechanics and Materials Vols. 241-244

Abstract: The best is to read these instructions and follow the outline of this text. The effectiveness evaluation of Network Countermeasure (NCM) is a multi-level and multi-index problem. In order to objectively and accurately evaluate the NCM effectiveness, an index system for the NCM effectiveness evaluation is set up, and a SOM-BP cloud neural network evaluation method which combined cloud theory and neural network is presented. This evaluation method has not only randomness and fuzziness of cloud theory, but also the learning and remembering ability of neural network. Using this Method to evaluate the NCM effectiveness, we find this method has the advantage of fast convergence, few iterations, and high accuracy.

Abstract: The Transmission Control Unit (TCU) of Automated Mechanical Transmission (AMT) can not only control drive train to shift automatically but also communicate with other controller to achieve coordination control. In this paper, Controller Area Network (CAN) communication of AMT is designed by using Motorola Scalable CAN Module (MSCAN) integrated in MC9S12DP256 Microcontroller. CAN communication protocol, CAN interface circuit and software are developed.

Abstract: To ensure power supply reliability, 500kV EHV power system mainly uses 3 / 2 circuit breaker connection mode. However, due to 3 / 2 breaker protection devices caused more complex secondary circuit and relay configuration, therefore, the coordination between circuit breaker protection and reclosing devices becomes prominent issues. This article take the wiring diagram of 500kV TP substation for example, discussed the problems of the line – transformer strings and the line – line strings of reclosing coordination under the 3/2 breaker connection mode. Finally, gives suggestions to improve circuit breaker protection and reclosing coordination, hoping to improve the system stability and reliability effectively.

Abstract: According to speed sensorless vector control of Asynchronous motor for Cascaded high voltage inverter, a model reference adaptive system (MRAS) implemented in two phase rotating reference frame was studied to identify the rotor speed of an asynchronous motor. To eliminate the inherent limitations of MRAS in two phase stationary reference frame, the reference model and adjustable model used in this MRAS scheme are composed of an improved rotor flux voltage model and rotor flux current model in two phase rotating reference frame respectively. Simulation and experimental results show that the vector control system can estimate the flux and speed with good accuracy, and run with good static and dynamic performance in start, speed regulation and steady operation.

Abstract: To improve the efficiency and accuracy of relay setting calculation of power system, this paper proposed and developed a schematized and open-ended software platform in integrative relay setting. Through the advanced development of the Visio software, the graphical input of the target system topology and component parameters are made possible. The platform can automatically generate PSCAD simulation model according to the topology information and device parameters through an interface program to PSCAD, and use this power system simulation software to improve the accuracy of short-circuit current calculation. With the help of the Bookmark mechanism of WORD software, the platform provides a setting template with general protection components, which forms the basis to realize the open-ended platform. The platform also uses the API interface provided by WORD software to automatically generate the final relay protection setting report document according to the results of short-circuit current calculation and the selected protection setting components. This paper gives in detail the overall framework of the proposed platform, as well as the principle and practice of all the above parts. Moreover, the validity and practicality in improving the automation degree of the relay setting of power plant are shown through practical applications.

Abstract: This paper proposed a method of stator resistance estimation for sensorless induction motor (IM) drives based on a model reference adaptive system (MRAS). In this scheme, the error between estimated stator current and real stator current is regarded as the system error to estimate the rotor speed. Because of the motor parameters vary with inner temperature of the motor, the influence of motor speed estimation due to stator resistance identification error was analyzed. The error compensation method for stator resistance estimation was proposed. The algorithm is given to compensate the stator resistance deviation, which results in the speed estimation error. Simulation and experimental results show the good performance for the proposed scheme in speed and robustness for sensorless induction motor drives.

Abstract: In this paper a tracked tracing robot has been investigated and M30245 is used as system core to build its motion control system. A motion control system specifically fitted the differential drive nature of the tracked mobile robots, has been proposed. In this paper, tracing tracked robot based on the structural design, the design of driver module, detection module, control procedures are carried out. The PWM DC motor control technology is discussed; the track sensors, ultrasonic sensors, color sensors, light sensors, temperature sensors and other detection devices are used. Combination of control system the software is designed so that the robot can walk along the designated trajectory, bypass obstacles, test the temperature of the surrounding environment and brightness, then identification and response.

Abstract: This paper proposes a new speed control scheme for a Permanent Magnet Synchronous Motor(PMSM) by means of multi-mode control method,Human Simulate Intelligent Control. Similar to hierarchical intelligent control system,the proposed controller for PMSM is composed of three sections,Task Adapter Level (TA), Self-Tuning Level (ST) and Master Controller Level (MC).Simulation results clearly show that the controller guarantees the speed tracking errors asymptotically converge to zero despite time varying reference speed and load torque disturbance variation.Numerical simulations reveal the superiority of the proposed controller to traditional PI.

Abstract: Designed a manipulator’s clamping mechanism for a cylindrical electric vehicle lithium battery carrying, made virtual structure design with software UG, realized the UG and ADAMS data exchange with Parasolid format, carried on virtual dynamic simulation for clamping force and contact constraint with ADAMS, virtually tested and analyzed force in coordination with kinetic parameters of clamping mechanism, finally, design of the clamping mechanism meets the requirements of large-scale battery inspection and maintenance of production lines.

Abstract: In order to improve the pesticide effective utilization rate and reduce the pesticide residues and the chemical pollution, an intelligent decision-making method for variable spraying of mobile robot based on a fuzzy neural network is proposed. The system is built by integrating the level of plant diseases and insect pests and the spraying target’s distance and area. The intelligent decision-making is achieved by self-learning and self-correcting the fuzzy rules of the fuzzy neural network. The simulation experiment results show that the intelligent decision-making method can realize real-time and quick decision. It has the greater decision accuracy than the fuzzy decision system on the samples not appearing in training and has a good fit for the uncertain work environment in greenhouse.