Optimal Design of the Modular Joint Drive Train for Enhancing Cobot Load Capacity and Dynamic Performance

Automation advancements prompts the extensive integration of collaborative robot(cobot)across a range of industries.Compared to the commonly used design approach of increasing the payload-to-weight ratio of cobot to enhance load capacity,equal attention should be paid to the dynamic response characteristics of cobot during the design process to make the cobot more flexible.In this paper,a new method for designing the drive train parameters of cobot is proposed.Firstly,based on the analysis of factors influencing the load capacity and dynamic response characteristics,design criteria for both aspects are established for cobot with all optimization design criteria normalized within the design domain.Secondly,with the cobot in the horizontal pose,the motor design scheme is discretized and it takes the joint motor diameter and gearbox speed ratio as optimization design variables.Finally,all the discrete values of the optimization objectives are obtained through the enumeration method and the Pareto front is used to select the optimal solution through multi-objective optimization.Base on the cobot design method proposed in this paper,a six-axis cobot is designed and compared with the commercial cobot.The result shows that the load capacity of the designed cobot in this paper reaches 8.4 kg,surpassing the 5 kg load capacity commercial cobot which is used as a benchmark.The minimum resonance frequency of the joints is 42.70 Hz.

Optimal Design of a Main Driving Mechanism for Servo Punch Press Based on Performance Atlases

The servomotor drive turret punch press is attracting more attentions and being developed more intensively due to the advantages of high speed,high accuracy,high flexibility,high productivity,low noise,cleaning and energy saving.To effectively improve the performance and lower the cost,it is necessary to develop new mechanisms and establish corresponding optimal design method with uniform performance indices.A new patented main driving mechanism and a new optimal design method are proposed.In the optimal design,the performance indices,i.e.,the local motion/force transmission indices ITI,OTI,good transmission workspace good transmission workspace(GTW) and the global transmission indices GTIs are defined.The non-dimensional normalization method is used to get all feasible solutions in dimensional synthesis.Thereafter,the performance atlases,which can present all possible design solutions,are depicted.As a result,the feasible solution of the mechanism with good motion/force transmission performance is obtained.And the solution can be flexibly adjusted by designer according to the practical design requirements.The proposed mechanism is original,and the presented design method provides a feasible solution to the optimal design of the main driving mechanism for servo punch press.

Direct Yaw Moment Control for Distributed Drive Electric Vehicle Handling Performance Improvement

For a distributed drive electric vehicle（DDEV） driven by four in-wheel motors, advanced vehicle dynamic control methods can be realized easily because motors can be controlled independently, quickly and precisely. And direct yaw-moment control（DYC） has been widely studied and applied to vehicle stability control. Good vehicle handling performance： quick yaw rate transient response, small overshoot, high steady yaw rate gain, etc, is required by drivers under normal conditions, which is less concerned, however. Based on the hierarchical control methodology, a novel control system using direct yaw moment control for improving handling performance of a distributed drive electric vehicle especially under normal driving conditions has been proposed. The upper-loop control system consists of two parts： a state feedback controller, which aims to realize the ideal transient response of yaw rate, with a vehicle sideslip angle observer; and a steering wheel angle feedforward controller designed to achieve a desired yaw rate steady gain. Under the restriction of the effect of poles and zeros in the closed-loop transfer function on the system response and the capacity of in-wheel motors, the integrated time and absolute error（ITAE） function is utilized as the cost function in the optimal control to calculate the ideal eigen frequency and damper coefficient of the system and obtain optimal feedback matrix and feedforward matrix. Simulations and experiments with a DDEV under multiple maneuvers are carried out and show the effectiveness of the proposed method： yaw rate rising time is reduced, steady yaw rate gain is increased, vehicle steering characteristic is close to neutral steer and drivers burdens are also reduced. The control system improves vehicle handling performance under normal conditions in both transient and steady response. State feedback control instead of model following control is introduced in the control system so that the sense of control intervention to drivers is relieved.

The association between Tai Chi exercise and safe driving performance among older adults： An observational study

Background: Age-related cognitive and physical decline can impair safe driving performance. Tai Chi exercise benefits cognitive and physical function and may influence safe driving performance in older adults. The primary aim of this observational study was to compare cognitive processes and physical function related to safe driving performance among older adult Tai Chi practitioners to normative reference values.Secondary aims were to examine relationships between Tai Chi exercise habits, cognitive processes, and physical function related to safe driving performance and to explore potential predictors of safe driving performance.Methods: The Driving Health Inventory, the Driving Scenes Test, other driving-related cognitive and physical measures, and self-reported measures including the Mindful Attention Awareness Scale(MAAS) and the Vitality Plus Scale(VPS) were collected from current Tai Chi practitioners(n = 58; age 72.9 ± 5.9 years, mean ± SD) with median >3 years Tai Chi practice.Results: Compared to normative reference values, participants performed better on numerous cognitive measures including the Driving Scenes Test(p < 0.001, d = 1.63), maze navigation(p = 0.017, d = 0.27), the Useful Field of View Test(p < 0.001, r = 0.15), and on physical measures including the Rapid Walk Test(p < 0.001, r = 0.20), and the Right Foot Tapping Test,(p < 0.001, r = 0.35). Participants scored higher than normative reference values on MAAS and VPS(p < 0.001, d = 0.75; p = 0.002, d = 0.38, respectively). Statistically significant correlations were found between several study measures. The digit span backward test was the strongest predictor of safe driving performance(β = 0.34,p = 0.009).Conclusion: Tai Chi exercise has the potential to impact cognitive processes and physical function related to safe driving performance. Further study using randomized controlled trials, structured Tai Chi exercise doses, and driving simulator or on-road driving performance as outcome measures are warranted.

Optimization and Performance Comparison of Hairpin?Winding PMSM for Electric Vehicles Under Drive Cycle

Aiming at the problem of large AC copper loss caused by skin effects and proximity effects,and low efficiency at high speed of the hairpin-winding permanent magnet synchronous motor(PMSM)for electric vehicles(EVs),this paper firstly established the electromagnetic analytical model of the hairpin winding to calculate AC resistance.And the finite element model(FEM)of the hairpin-winding driving motor is established to calculate the AC characteristic of the hairpin winding at different speeds and temperatures.Then,combining modified particle swarm optimization(MPSO)and FEM,a 60 k W hairpin-winding PMSM is optimized under driving cycle conditions,and the electromagnetic performance and heat dissipation performance are compared with that of the traditional strand-winding motor.Finally,a prototype is made and an experimental platform is built to test the efficiency Map and temperature rise of the hairpin-winding motor over the whole speed range and verify the accuracy of the proposed optimization design method.The results show that the hairpin-winding PMSM not only has higher slot filling rate,high?efficiency range and power density,but also has better heat dissipation performance,which is suitable for application in the field of electric vehicles.

Deployment Dynamic Modeling and Driving Schemes for a Ring-Truss Deployable Antenna

Mesh reflector antennas are widely used in space tasks owing to their light weight,high surface accuracy,and large folding ratio.They are stowed during launch and then fully deployed in orbit to form a mesh reflector that transmits signals.Smooth deployment is essential for duty services;therefore,accurate and efficient dynamic modeling and analysis of the deployment process are essential.One major challenge is depicting time-varying resistance of the cable network and capturing the cable-truss coupling behavior during the deployment process.This paper proposes a general dynamic analysis methodology for cable-truss coupling.Considering the topological diversity and geometric nonlinearity,the cable network's equilibrium equation is derived,and an explicit expression of the time-varying tension of the boundary cables,which provides the main resistance in truss deployment,is obtained.The deployment dynamic model is established,which considers the coupling effect between the soft cables and deployable truss.The effects of the antenna's driving modes and parameters on the dynamic deployment performance were investigated.A scaled prototype was manufactured,and the deployment experiment was conducted to verify the accuracy of the proposed modeling method.The proposed methodology is suitable for general cable antennas with arbitrary topologies and parameters,providing theoretical guidance for the dynamic performance evaluation of antenna driving schemes.

Modeling and Performance Prediction of Induction Motor Drive System for Electric Drive Tracked Vehicles

The principle of rotor flux-orientation vector control on 100/150 kW three-phase AC induction motor for electric drive tracked vehicles is analyzed, and the mathematic model is deduced. The drive system of induction motor is modeled and simulated by Matlab/Simulink. The characteristics of motor and drive system are analyzed and evaluated by practical bench test. The simulation and bench test results show that the model is valid, and the driving control system has constant torque under rated speed, constant torque above rated speed, widely variable speed range and better dynamic characteristics. In order to evaluate the practical applications of high power induction motor driving system in electric drive tracked vehicles, a collaborative simulation based on interface technology of Matlab/Simulink and multi-body dynamic analysis software known as RecurDyn is done, the vehicle performances are predicted in the acceleration time (0-32 km/h) and turning characteristic (v=10 km/h, R=B).

Modulating the Lasing Performance of the Quantum Dot-Cavity System by Adding a Resonant Driving Field

We propose a new scheme on modulating the lasing performance of a quantum dot-cavity system. Compared to the conventional above-band pump, in our new scheme an additional resonant driving field is applied on the quantum dot-cavity system. By employing the master equation theory and the Jaynes-Cummings model, we are able to study the interesting phenomenon of the coupling system. To compare the different behaviors between using our new scheme and the conventional method,we carry out investigatioin for both the 'good system'and 'more realistic system', characterizing several important parameters, such as the cavity population, exciton population and the second-order correlation function at zero time delay. Through numerical simulations,we demonstrate that for both the good system and more realistic system, their lasing regimes can be displaced into other regimes in the presence of a resonant driving field.

Five characteristics of China textile industry performance in 2017 Former and present driving forces transferred significantly

According to the 2017 Summary Conference of China National Textile and Apparel Council(CNTAC)held on January 22nd to 23rd,in the first 11 months of 2017,the overall operation of China’s textile industry showed a steady growth rate,stable domestic demand growth。

Knowledge and data jointly driven aeroengine gas path performance assessment method

Aeroengines,as the sole power source for aircraft,play a vital role in ensuring flight safety.The gas path,which represents the fundamental pathway for airflow within an aeroengine,directly impacts the aeroengine's performance,fuel efficiency,and safety.Therefore,timely and accurate evaluation of gas path performance is of paramount importance.This paper proposes a knowledge and data jointly driven aeroengine gas path performance assessment method,combining Fingerprint and gas path parameter deviation values.Firstly,Fingerprint is used to correct gas path parameter deviation values,eliminating parameter shifts caused by non-component performance degradation.Secondly,coarse errors are removed using the Romanovsky criterion for short-term data divided by an equal-length overlapping sliding window.Thirdly,an Ensemble Empirical Mode Decomposition and Non-Local Means(EEMD-NLM)filtering method is designed to“clean”data noise,completing the preprocessing for gas path parameter deviation values.Afterward,based on the characteristics of gas path parameter deviation values,a Dynamic Temporary Blended Network(DTBN)model is built to extract its temporal features,cascaded with Multi-Layer Perceptron(MLP),and combined with Fingerprint to construct a Dynamic Temporary Blended AutoEncoder(DTB-AutoEncoder).Eventually,by training this improved autoencoder,the aeroengine gas path multi-component performance assessment model is formed,which can sufficiently decouple the nonlinear mapping relationship between aeroengine gas path multi-component performance degradation and gas path parameter deviation values,thereby achieving the performance assessment of engine gas path components.Through practical application cases,the effectiveness of this model in assessing the aeroengine gas path multi-component performance is verified.

DIR:Dynamic Request Interleaving for Improving the Read Performance of Aged Solid-State Drives

Triple-level cell(TLC)NAND flash is increasingly adopted to build solid-state drives(SSDs)for modern computer systems.While TLC NAND flash effectively improves storage density,it faces severe reliability issues;in partic-ular,the pages exhibit different raw bit error rates(RBERs).Integrating strong low-density parity-check(LDPC)code helps to improve reliability but suffers from prolonged and proportional read latency due to multiple read retries for worse pages.The straightforward idea is that dispersing page-size data across several pages in different types can achieve a low-er average RBER and reduce the read latency.However,directly implementing this simple idea into flash translation lay-er(FTL)induces the read amplification issue as one logic page residing in more than one physical page brings several read operations.In this paper,we propose the Dynamic Request Interleaving(DIR)technology for improving the performance of TLC NAND flash-based SSDs,in particular,the aged ones with large RBERs.DIR exploits the observation that the la-tency of an I/O request is determined,without considering the queuing time,by the access of the slowest device page,i.e.,the page that has the highest RBER.By grouping consecutive logical pages that have high locality and interleaving their encoded data in different types of device pages that have different RBERs,DIR effectively reduces the number of read re-tries for LDPC with limited read amplification.To meet the requirement of allocating hybrid page types for interleaved data,we also design a page-interleaving friendly page allocation scheme,which splits all the planes into multi-plane re-gions for storing the interleaved data and single-plane regions for storing the normal data.The pages in the multi-plane re-gion can be read/written in parallel by the proposed multi-plane command and avoid the read amplification issue.Based on the DIR scheme and the proposed page allocation scheme,we build DIR-enable FTL,which integrates the proposed schemes into the FTL with some modifications.Our experimental results show that adopting DIR in aged SSDs exploits nearly 33%locality from I/O requests and,on average,reduces 43%read latency over conventional aged SSDs.

考虑工作记忆容量和时间压力影响的驾驶绩效分析

随着风险驾驶机理研究的不断完善,外部情境因素和驾驶人内部认知差异逐渐成为当前研究的热点和难点。本文为研究时间压力、工作记忆容量与驾驶绩效之间的关系,采用时间约束和动机等主客观相结合的方法实现时间压力的施加,采用复杂跨度范式测量驾驶人工作记忆容量。基于驾驶模拟器系统构建相关驾驶场景,开展心理学与模拟驾驶行为试验,采集驾驶人心理、操作和车辆运行数据,分别就时间压力、工作记忆容量及其组合对驾驶绩效的影响进行分析。结果表明:时间压力对超速比例、碰撞概率、制动反应时间、左转选择间隙皆有显著的影响效应,且时间压力越高,超速比例越大、碰撞概率越高、制动反应时间越快、左转选择间隙越小的频次越多;工作记忆容量仅对制动反应时间有影响,工作记忆容量越高,制动反应时间越快;时间压力与工作记忆容量对制动反应时间无交互影响,但随着时间压力的增大,高工作记忆容量人群与低工作记忆容量人群在制动反应时间上的差异逐渐变小。这些发现为研究时间压力下的驾驶绩效提供了驾驶人认知方面的新见解。

船式拖拉机直线工作参数优选研究

为提高船式拖拉机驱动性能,以单轮叶为研究对象,结合离散元法搭建了仿真模型与土槽试验平台,分析单轮叶与土壤的直线作业机理。验证仿真模型的有效性后,从单轮叶与土壤作业过程出发,对单轮叶直线作业过程受力进行了分析,发现单轮叶推进力和支撑力均随着转过角度的增加呈现先增加后降低的趋势变化。以单轮叶推进力和扭矩作为评价指标,探究单轮叶工作参数对驱动性能的影响规律,通过多因素法得到最佳的工作参数组合。研究结果表明:最优工作参数组合为入土角度11°、入土深度147mm、前进速度1.6m/s,此时轮叶推进力为172.51N、扭矩为69.82N·m,优化后的单轮叶推进力提高了40.82N,扭矩下降了34.77N·m。土槽试验表明:优化后的单轮叶损耗功率降低明显,驱动性能得到了有效提高,结果为船式拖拉机工作参数选择提供了理论依据。

高原环境导致的中青年驾驶行为及驾驶绩效特征

为了量化分析高原环境导致的驾驶行为特征差异,寻找驾驶绩效下降时间窗,运用驾驶模拟器和低氧发生器在平原地区模拟海拔3 900 m高原驾驶环境,开展驾驶模拟试验分别收集驾驶人在平原环境和模拟高原环境的驾驶行为数据和心电图(electrocardiogram,ECG)信号数据。通过对比高原实车试验环境驾驶人的心率指标变化,运用雷达图、数值排序图和单因素方差分析方法对平原、高原环境下的驾驶行为特征进行对比分析,引入Jensen-Shannon散度(JS散度)量化2种环境下横向偏移距离、横向加速度、转向盘旋转率和速度这4个指标的概率密度拟合分布之间的差异,使用差分法确定高原环境下的驾驶绩效下降时间,验证了模拟高海拔环境驾驶模拟试验的有效性研究。结果表明:高原环境下横向偏移距离标准差、横向加速度标准差、转向盘旋转率标准差、速度标准差比平原环境下分别增加了0.094 3 m,0.119 0 m/s^(2),0.000 9°/s,0.651 3 km/h,车辆整体稳定性降低;借助JS散度发现横向偏移距离、横向加速度、转向盘旋转率和速度这4个指标在2种环境下的数值分布存在较大距离,分别为0.23,0.11,0.01,0.02,其中车辆的横向运动受负面影响更大;在进入海拔3 900 m的高原地区时,驾驶绩效约在6 min后显著下降。

基于感通算融合和信息年龄优化的车联网多节点协同感知

面向未来自动驾驶系统中的实时性业务需求(如高清地图更新),基于感知-通信-计算融合,引入信息年龄作为实时性度量,设计感通算融合的车联网多节点协同感知机制。在通信-计算资源和车辆能耗约束下,优化调度感知节点信息采集和传输处理,最小化感知信息的平均信息年龄;提出基于李雅普诺夫的在线调度算法,将复杂的长期随机优化问题转化为单时隙在线优化问题,并设计低复杂度算法求解。仿真表明,与现有仅考虑通信与计算融合的机制相比,所提机制信息实时性可提高9%~50%。

多参数回归物质平衡法在水驱气藏气井生产动态预测中的应用

物质平衡法在水驱气藏气井生产动态指标预测中面临2项难题,即产能方程的建立和水侵量计算,影响指标预测精度。针对存在的问题,通过理论推导及经验回归,研究产能方程系数和气层压力、水侵量和气层总压差、产水量与产气量之间的变化规律。建立一种新的多参数回归物质平衡法:包括3个基础方程(水驱气藏物质平衡方程、二项式产能方程、井筒管流方程)和4个经验关系式(二项式产能方程系数A与气层压力、二项式产能方程系数B与气层压力、累计水侵量与气层总压差、累计产水量与累计产气量)。结果表明,多参数回归物质平衡法立足气井的生产动态数据,简化了产能方程建立和水侵量计算过程。经过实践检验,平均误差在5%以内,该方法满足现场实际要求。

串联驱动变弯度机翼设计与气动性能分析

针对飞行性能要求,采用NACA4412翼型设计了一种串联驱动变弯度机翼方案。将机翼沿弦向分为5个翼段,前缘部分为主承力结构固定段,后缘4段翼面由4个舵机实现串联驱动。偏转翼段内部采用空间五面体桁架结构,表面敷设复合材料弹性蒙皮。翼段间采用连杆止动以限制相对转角。建立了机翼的运动学分析模型,计算了变弯度机翼的作动速度。建立了机翼的气动分析模型,对4个典型飞行工况的气动性能进行了分析,并与传统舵面机翼性能进行对比。研究表明,在相同飞行工况下,弦向四级串联驱动变弯度机翼的作动时长仅为传统机翼的25%。起飞阶段升阻比增大71.94%,滚转机动时力矩增大12.46%,进近阶段升力增大11.19%,接地后减速阶段阻力增大104.83%。串联驱动变弯度机翼相对传统舵面机翼具有更优的操纵特性和气动性能。

基于模糊数学方法评价自动驾驶接管绩效

采用问卷和实验方法,并利用模糊数学方法探讨接管前置时间、驾驶信任、情绪唤醒以及性别因素对接管绩效的综合影响。结果发现:3s前置时间的接管绩效最佳,5s次之,8s最差;低驾驶信任度的驾驶员接管绩效优于高信任度的;男性驾驶员的接管绩效优于女性,唤起中性情绪时驾驶员的接管绩效优于积极情绪时,并且交互作用显示,男性唤起积极情绪后接管绩效最差。主要结论是,驾驶员的情绪稳定有利于驾驶员在紧急情况下接管车辆。

船舶动力推进系统加速性能控制方法改进

针对船舶动力推进系统加速性能控制方法实施改进优化。首先,设计船舶动力推进系统加速性能控制模型,通过推进电机推力控制与桨距的调节共同实现推进系统的加速性能控制。船舶集控室将加速命令传输至VDF中央处理单元后,推进变频器内的PLC软件获取获取控制命令,利用模糊控制器控制加速电机转速。针对控制偏差问题,采用遗传算法改进模糊控制器,通过准确控制电机产生的推力实现加速性能控制;VDF中央处理单元获取控制信息后,将螺距控制信息传输至CPP处理单元,由此实现对螺距的控制。实验结果显示,该方法能够有效实现研究对象的加速性能控制,控制响应时间在1 s内,且在联控模式控制过程具有较强的抗干扰性。

驱动电机并联流道的冷却性能研究

冷却流道的设计对电机冷却性能有重要影响,为研究并联流道的冷却性能,文章以135 kW永磁同步电机为研究对象,利用计算流体动力学(CFD)仿真方法分析了并联流道数量对电机冷却性能的影响,对比了并联式流道和串联式流道冷却性能的差异。结果表明,周向并联型流道数量对电机壳体温度场和速度场有明显的影响,随着流道数量的减少,壳体内壁最高温度下降,流道平均流速和速度均匀性系数提升,流道进出口压力升高,但变化幅度很小。周向并联型流道相比周向Z串联型流道,其电机壳体内壁温升更高,但温度分布均匀,平均流速平缓,速度均匀性系数更高,进出口压力差更低,降低了近5倍。