As mentioned in this paper that three-dimensional and two-dimensional model of the motor is established and three-dimensional structure of the motor is proposed. The finite element structure of the two-dimensional motor is analyzed by using the two-dimensional finite element analysis method combined with a motor example. The finite element parameters of the motor are designed, and the state parameters of the motor involving flux diagram, magnetic line diagram, magnetic density vector diagram and magnetic density cloud diagram are obtained.

This paper proposes angular velocity vector feedback speed control system, the amplitude and phase signals of diagonal velocity are extracted, and signals are converted into current and voltage vector signals to achieve high efficiency and speed precision. Brushless motor rotational stability on speed and torque are classified, comparative characteristics analysis of dynamic speed and torque between conventional method and proposed method are simulated, results consisting of speed accuracy, the waveform of stator current and back electromotive force of each phase are all compared and analyzed, verifying fitness and validation of the proposed method.

No abstract

A high precision feedback control system with a given excitation current speed vector modulation and an integral saturated PI regulator is proposed for multi-scenario application of induction motor with wide speed and load in machine tool processing. Considering the characteristics of the variable range of voltage and current of the induction motor, the constraints of the excitation current of the motor and the slip frequency and other factors, the angular velocity vector of the induction motor, the given excitation current and the given speed variable are extracted as the adjusting variables of the feedback speed loop, and the transformation is carried out in combination with the relationship between the speed and the voltage of the modulation vector. The speed, torque, flux and three-phase stator current variables of the induction motor under the condition of constant torque, constant speed and torque and speed variables change were observed. By comparing the performance improvement of the proposed method with that of the conventional method, the effectiveness of the proposed method and the optimization characteristics of parameters were verified.

Study optimization of traffic flow accuracy detection problem. For moving targets' speed and external environment are the main factors of influencing traffic flow detection. It is easy to cause undetection and misjudgment of traffic flow detection. In order to overcome traditional frame differencing method and background differencing's inadequation when using singlely, an intelligent traffic detection method based on fusion of the frame differencing method and background differencing method is proposed by existing algorithm in this passage. This method firstly use frame differencing method priorityly, background differencing method complementary.Then use an iteration threshold segmentation method to filter out the noise and the background image is updated real-time. Completed multi-lanes traffic detection, got many groups of data and calculated accuracy. The simulation experiment shows that this method can improve the accuracy of detection effectively, it is simple and feasible. Keywords-traffic flow ;background differencing method ; frames differencing method (key words)I.