The prediction of the magnetic field is a prerequisite to investigate the motor performance. This paper focuses on the magnetic field estimation of surface-mounted permanent-magnet (SMPM) motors based on two approximations, i.e., the magnetic circuit analysis and the finite-element analysis (FEA). An equivalent magnetic circuit model is applied to analytically evaluate the magnetic field of a SMPM motor with exterior-rotor configuration. The two-dimensional FEA is then applied to numerically calculate the magnetic field and to verify the validity of the magnetic circuit model. The results show that the errors between the analytical predictions and FEA results are less than 6%. It is of benefit to further design purposes and optimization of SMPM motors.

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In order to reflect the complex effect of acceleration and air pressure, this paper introduces a new synchronously simulate technology and analyses the principle of the synchronously simulate. The paper also designs the structure and software of the control system. At last, the paper shows the result the application. The result shows that the system is simple, reliable, and the synchronization between acceleration and air pressure is very high. The analysis can also provide a reference for similar centrifuge design personnel.

<span style="font-family: Times New Roman; font-size: small;"> </span><p class="MsoBodyText" style="margin: 0cm 0cm 0pt; layout-grid-mode: char;"><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 9pt;">A semi-blind source extraction algorithm for noisy mixtures based on a linear predictor is proposed. The novel algorithm is firstly validated using the benchmark data and then is applied to extract array radar signal suffering from jamming interference. The results showed that the novel algorithm can effectively extract the target signal in radar echo. Thus, it has practical application prospect in array radar for increasing anti - jamming interference ability.</span><span style="font-family: &quot;Times New Roman&quot;,&quot;serif&quot;; font-size: 9pt; mso-fareast-language: ZH-CN;"></span></p><span style="font-family: Times New Roman; font-size: small;"> </span>

With the development of aerospace technology, the maneuverability of various types of aircraft continues to improve, and these aircraft experience an overload environment with high acceleration and high acceleration rate. Due to the special influence brought by the high acceleration rate, the dynamic centrifugal test technology, which is different from the traditional steady-state centrifugal test technology, came into being. The steady-state centrifuge has only one rotor, while the dynamic centrifuge has multiple rotors; so, the relationship between the acceleration of the control point and the motion parameters of the rotors is more complicated. Therefore, a key issue of the dynamic centrifugal test technology is the inverse kinematics of the dynamic centrifuge, which is to calculate the kinematic parameters of the dynamic centrifuge according to the expected acceleration environment that needs to be simulated on the centrifuge. After the kinematic parameters is calculated, the control target of each rotor of the dynamic centrifuge could be known, then the expected acceleration environment could be produced. In this paper, 1) on the basis of the predecessors, the equation for solving the angular velocity of the main arm of the centrifuge is improved; 2) and then a time step adaptive method is proposed, which takes into account the calculation accuracy and efficiency. As a result, an inverse kinematics algorithm that is more accurate and adaptable to various acceleration history curve is obtained. Finally, the inverse kinematics algorithm in this paper is verified through experiments and numerical simulations.