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利用VORONOI算法在PYTHON中的多晶材料建模(Modeling of Polycrystalline Materials in PYTHON Using VORONOI Algorithms)

常规波束形成与最小方差无畸变算法性能对比（CBF、MVDR）(Performance comparison between conventional beamforming and minimum variance distortionless algorithm CBF MVDR)

说明：  常规波束形成与最小方差无畸变算法性能对比（CBF、MVDR）(Performance comparison between conventional beamforming and minimum variance distortionless algorithm CBF MVDR)

说明：  voce非线性各向同性强化弹塑性本构子程序（ansys格式）(voce-Nonlinear-Isotropic Hardening usermat)

分别对matlab和ansys两种平台的拓扑优化结果分析比较，为学习者提供了两种不同优化设计思路，过程详细清晰，易于学习理解(The analysis and comparison of topology optimization results between MATLAB and ANSYS two platforms provide two different optimization design ideas for learners. The process is clear and clear, and easy to learn and understand.)

本文首先分析了永磁同步电机矢量控制的发展概况，然后从机电能量转换的角度出发，解释三相永磁同步电机的机电能量转换原理，推导拉格朗日运动方程。此外，列写出永磁同步电机在三相静止坐标系和dq坐标系下的数学模型。基于Simulink建立了转速电流双闭环矢量控制系统的仿真模型，通过对仿真结果分析，验证了永磁同步电机矢量控制系统性能的优越性。(This paper first analyzes the development of permanent magnet synchronous motor vector control, and then explains the electromechanical energy conversion principle of three-phase permanent magnet synchronous motor from the perspective of electromechanical energy conversion, and deduce the Lagrange motion equation. In addition, the mathematical model of permanent magnet synchronous motor (PMSM) in three phase stationary coordinate system and dq coordinate system is listed. Based on Simulink, a simulation model of speed and current double closed loop vector control system is established. By analyzing the simulation results, the performance of PMSM vector control system is verified.)

基于空间矢量的电流型整流器，双闭环，可运行，实现了电压电流同相位功能(The current mode rectifier based on space vector can operate with double closed loops, and achieve the function of voltage current and phase.)

七自由度冗余机械臂的阻抗控制，并实现自动对奇异构型的避免，通过设置性能指标，自动对机械臂此时性能指标的变化进行判断并修正机械臂轨迹(The impedance control of the seven degree of freedom redundant manipulator is realized, and the automatic configuration is avoided. By setting the performance index, the change of the performance index of the robot arm is automatically judged and the trajectory of the manipulator is corrected)

说明：  混合粒子群求解TSP问题，重新定义了离散粒子群算法DPSO的速度和位置公式,使其适宜求解离散问题.针对DPSO易早熟,收敛慢的缺陷,建立局部极小区域的扰动机制,在结合局部搜索算法PSEC后,提出了一种混合离散粒子群算法HDPSO.(Hybrid particle swarm optimization for TSP)

可用于车辆操控稳定性分析，预测车辆行驶状态进行预测控制。(Can be used for vehicle control stability analysis, forecast vehicle driving state for predictive control.)