In this paper,the necessity of the coordinated control is further discussed under state-switch based on the analysis of dynamical characteristics of both engine and motor. The thoughts of torque compensation and powertrain sequence are illustrated with detail and used to build up simulation model.The acceleration fluctuation is used to measure the simulation results of the coordinated control strategy, and it is finally manifested by the simulation results which are got through MATLAB/SIMULINK and CRUISE that the coordinated control algorithm can effectively reduce the fluctuation of vehicle acceleration and ensure smooth power transfer under state-switch.

Based on the mathematical model of brushless DC motor, a simulation model of brushless DC motor (BLDCM) double closed-loop control system is established by using the voltage equation, the electromagnetic torque equation and the motion equation based on Matlab, then introduces the sub-modules of the controlling system in detail. PID control is used in the speed loop and hysteresis current track of PWM is used in the current loop. The reasonability and validity are testified by the simulation results and this novel method offers a new thought way for designing and debugging actual motors.

To overcome disadvantages of complex wiring and difficult maintenance for traditional wired sensor networks, a data acquisition system for chemical equipment monitoring based on wireless sensor network has been put forward. The proposed data acquisition system has functions of real-time data acquisition, transmission, storage, query and remote sharing of history data, and provides favorable technical supports for real-time chemical equipment monitoring. First, the system framework, EMBV210 hardware are introduced. Then, in the LabVIEW platform, the data acquisition system is developed, and the remote sharing of equipment operating status by DataSocket is realized. Finally, the proposed data acquisition system is simulated and verified. The work provides a feasible way for chemical equipment monitoring and useful references for the development of other similar integrated measurement and control systems.

No abstract