Yulong Bai

Remote Wireless Control System of Copper Refinery Shorting Switch

The paper designs remote wireless control system of copper refinery shorting switch in the copper smelting industry, which is composed of in-situ monitor nodes and centralized-control master nodes and can realize remote control and real-time monitoring of shorting switch. Monitor nodes adopt PLC module, temperature monitoring module, LCD module and other in-situ devices. All modules collect switching values and temperatures, and transmit collected signals to master nodes through wireless network, and master modes transfer information to computer equipment in the monitoring end. Centralized-control master nodes send alarm for temperatures exceeding the safety range, control switch operation, and produce switch operation report. The test results indicate that the system is reliable, stable and of significant application value in the metallic refinery industry.

Handling error propagation in sequential data assimilation using an evolutionary strategy

An evolutionary strategy-based error parameterization method that searches for the most ideal error adjustment factors was developed to obtain better assimilation results. Numerical experiments were designed using some classical nonlinear models (i.e., the Lorenz-63 model and the Lorenz-96 model). Crossover and mutation error adjustment factors of evolutionary strategy were investigated in four aspects: the initial conditions of the Lorenz model, ensemble sizes, observation covariance, and the observation intervals. The search for error adjustment factors is usually performed using trial-and-error methods. To solve this difficult problem, a new data assimilation system coupled with genetic algorithms was developed. The method was tested in some simplified model frameworks, and the results are encouraging. The evolutionary strategy-based error handling methods performed robustly under both perfect and imperfect model scenarios in the Lorenz-96 model. However, the application of the methodology to more complex atmospheric or land surface models remains to be tested.

Radar Target Tracking Error Research Using Kalman Filter-Based Algorithms

The methods of radar target tracking have a substantial effect on the accuracy of the whole radar systems. The basic principles and implementing steps of the Extended Kalman filter (the EKF) and the Unscented Kalman filter (the UKF) are briefly introduced. The main sources of radar observation errors and the limitation of the current methods are analyzed. According to the requirements of tracking a CV target, the EKF and the UKF are used to simulate the experiments by establishing the specific model of radar target tracking. The results show that the tracking errors can be constrained within a certain range and the whole systems also have the high tracking accuracy.

Optimal Electromagnetic Pump Design Based on Bond Graph Methods

For modeling and simulation of dynamic systems, bond graph methods could be served as a powerful tool to make a compete model and to test the performance of the model. Bond graph is an explicit graphical tool for capturing the common energy structure of systems. This paper deals with the conceptual design of an electrical-magnetic pump, which should be considered as the different domains design, such as hydraulic, electrical magnetic and thermal domain. After the realization of the basic pump functions, the model will be converted into a 20-sim design environment in which the configuration parameters of the pump can be adopted in order to optimize the choice of the better pump properties, such as efficiency, capacity and the power consumptions. It is seen that the bond graph method with the 20-sim software can solve the pump design problems effectively.