基于PROFIBBUS—DP的双向拉伸塑料薄膜控制系统的设计

基于PROFIBBUS—DP的双向拉膜生产线控制系统主要完成：基于现场总线上位机、触摸屏、PLC控制系统的软硬件设计;在张力、温度、压力控制系统中采用了数字PID的控制方案,在MATLAB中进行了仿真验证;完成了系统硬件组态和网络组态,并进行了系统的调试和试运行,基本满足生产要求。     

Na0.5Bi0.5TiO3 phase relations: Thermodynamics and phase equilibria in the systems Bi2O3 – TiO2, Na2O – TiO2, and Na2O – Bi2O3 – TiO2

The lead-free piezoelectric material sodium bismuth titanate (NBT, Na_0.5Bi_0.5TiO₃) has attracted considerable attention owing to its promising dielectric, piezoelectric, and electrical properties. However, the literature on the binary subsystems is contradictory and there are only limited data for the ternary system. The present work surveys all of the reports of the binary subsystems Bi₂O₃ – TiO₂ and Na₂O – TiO₂ and synthesizes these data into inclusive revised versions. The compatibilities for the ternary system Na₂O – Bi₂O₃ – TiO₂ were determined experimentally, thus enabling the construction of a complete isothermal section at 800 °C. The compatibilities associated with the problematic binary subsystem Na₂O – Bi₂O₃, which experiences extreme volatilisation, were determined through the generation of the absent standard-state thermodynamic functions for the relevant binary and ternary phases, thus providing a full suite of thermodynamic data for this system. The thermodynamic stability diagrams for Na₂O, Bi₂O₃, and TiO₂ thus were calculated. The isothermal section also addresses the contradictions in the literature concerning the formation of solid solutions of Bi₁₂TiO_20-x / Bi_12-xTi_1+xO_20+0.5x, pyrochlore (Bi₂Ti₂O₇ / Na_wBi_2-xTi_2-yO_7-z), BTO (Bi₄Ti₃O₁₂ / Na_xBi₄Ti₃O_12+0.5x), and NBT (Na_0.5Bi_0.5TiO₃ / Bi_1±xNa_xTiO_3.5±x). Further, it was observed that the congruent melting point of NBT, which was determined to be 1225 °C, was preceded by the onset of gradual structural destabilization at 940 °C. Also, the NBT rhombohedral → tetragonal phase transformation was observed at an onset temperature of ∼250 °C. The present work thus provides platform data for the fabrication and reactivities of materials in the ternary system Na₂O – Bi₂O₃· TiO₂ and its binary subsystems.     

Li and Ta-modified KNN piezoceramic fibers for vibrational energy harvesters

Piezoelectric energy harvesters (PEH) hold enormous potential for converting mechanical energy from our surrounding environment into electrical energy that can be used for powering portable electronics. Potassium sodium niobate (KNN) is one of the promising alternatives to replace lead-based piezoelectric materials. This work presents a cutting-edge demonstration of synthesis-function-device integration of piezoelectric nanofibers, where the morphology and the composition are engineered towards achieving high device output. We report a flexible nanogenerator based on electrospun Li and Ta-modified lead-free KNN nanofibers yielding a high voltage output of 5.6 V, which is around 9-fold higher than for the Mn-doped KNN nanofibers reported previously. The influence of Li and Ta-incorporation into the KNN lattice on the electromechanical coupling and the effect of a nanofiber morphology are investigated. The net-shaped KNN and Li and Ta-modified KNN nanofibers, synthesized by electrospinning of appropriate sols, maintain their structural integrity upon calcination and firing steps. The phase analysis (XRD) confirms the formation of single-phase (KNN) material. Li and Ta are found to be incorporated on the A and B-sites of the perovskite lattice, respectively. Piezo force microscopy data show the heat-treated nanofibers to exhibit multi-domain ferroelectric properties.     

双电机驱动关节的线性化控制研究

本文基于齿轮传动系统存在的齿隙非线性问题,提出了一种双电机驱动双主动齿轮啮合同一从动齿轮的驱动方案。设计了双电机协调控制算法,包括力矩线性化控制算法与单速度环速度反馈线性化控制算法,解决了电机齿轮传动系统运动过程中的齿隙非线性问题。本文首先介绍了双电机消隙原理与控制方案,然后建立双电机系统控制模型进行分析,最后搭建仿真模型进行控制方案的验证。仿真结果表明,本文所提出的双电机控制方案可以有效地解决齿轮传动中的齿隙非线性问题。     

高精度电阻加热炉控制系统设计

传统电阻加热炉采用住式控制，控温精度较差。本文对一种高精度电阻加热熔铝炉的控制系统作了介绍，系统采用可编程控制器（PLC）取代温控表，采用具有智能积分环节的模糊控制算法控制温度。实践表明，当设定温度740℃时，系统从铝熔化后（约660℃）到进入稳定约需240s，稳定后实测温度误差约±2℃，该系统操作安全方便，温度显示直观准确，性能稳定可靠。     

RBF级联型神经网络在挤出吹塑制品质量控制中的应用

通过对挤出吹塑工艺过程建立了成形工艺参数与制品质量关系的RBF(径向基函数)级联型神经网络,经训练,该网络可预测各成形工艺参数对制品质量的影响,从而可实现对制品质量的有效控制,并实验验证了其正确性和可行性。     

基于MATLAB的手臂康复机器人仿真研究

手臂康复机器人通过牵引患肢按规定轨迹运动,以锻炼肌肉、恢复运动功能,实现手臂康复训练.该机器人采用极坐标形式,由电机驱动各关节协调控制实现手臂的平面运动,该机器人可以在水平面和垂直面进行手臂运动锻炼.建立了基于MATLAB的手臂康复机器人控制模型,基于虚拟现实技术进行了仿真,仿真结果说明系统达到了预期效果.     

Automotive fuel cell sloshing under temporally and spatially varying high acceleration using GPU-based Smoothed Particle Hydrodynamics (SPH)

Understanding how fuel sloshes in a fuel cell, as a vehicle races around a circuit, is an important but mostly unexplored factor when designing fuel containment systems. Cell designs are based on knowledge of how liquids slosh in other containers, with the design and placement of structures, such as weirs, based on engineering judgement.This work aims to provide better understanding for this difficult problem with a view to improve future designs. A Graphics Processing Unit (GPU) based Smoothed Particle Hydrodynamics (SPH) model is presented to simulate the fuel sloshing problem, with results from a simplified and real fuel cell geometry shown and compared against real data recorded in a vehicle. The vehicle motion and accelerations are included in the SPH simulations using a body force within the momentum equation. Results show good agreement between the simulation and the real fuel movement, with bulk motion captured well for accelerations up to 5 times gravity.Focus is placed on the practicality of the method for use as part of an industrial design process, therefore the amount of time needed to compute results is considered throughout. Computational performance is found to be within acceptable limits, while numerical accuracy is actively considered through the use of Kahan compensated summation. It is concluded that the model is successful in capturing the necessary fluid dynamics for it to be useful in fuel cell design. It is expected that the method will provide insight into current cell designs and highlight where improvements can be made.     

GJK算法的一种特殊情形的形式化验证和应用

计算几何算法经常用于机器人避碰运动规划等安全攸关领域,对这些算法进行正确性证明非常重要.用形式化方法对算法进行验证是一种十分有效的手段,尤其是定理证明的方法用严格的数学公理和定理推理证明逻辑模型的性质,对所验证的性质而言是完备的.基于GJK算法设计了计算空间两条线段间距离的算法,用定理证明器HOL4对其相关的定义和定理进行形式化定义和证明,进而基于霍尔逻辑完成形式化表示和证明,对该算法的正确性实现了形式化验证.最后,给出了这一经过验证的算法在双臂机器人无碰撞运动规划中的应用.