Novel Distance Measures on Hesitant Fuzzy Sets Based on Equal-Probability Transformation and Their Application in Decision Making on Intersection Traffic Control

The purpose of this study is to reduce the uncertainty in the calculation process on hesitant fuzzy sets(HFSs).The innovation of this study is to unify the cardinal numbers of hesitant fuzzy elements(HFEs)in a special way.Firstly,a probability density function is assigned for any given HFE.Thereafter,equal-probability transformation is introduced to transform HFEs with different cardinal numbers on the condition into the same probability density function.The characteristic of this transformation is that the higher the consistency of the membership degrees in HFEs,the higher the credibility of the mentioned membership degrees is,then,the bigger the probability density values for them are.According to this transformation technique,a set of novel distance measures on HFSs is provided.Finally,an illustrative example of intersection traffic control is introduced to show the usefulness of the given distance measures.The example also shows that this study is a good complement to operation theories on HFSs.

Critical safe distance design to improve driving safety based on vehicle-to-vehicle communications

A critical safe distance(CSD)model in V2V(vehicle-to-vehicle)communication systems was proposed to primarily enhance driving safety by disseminating warning notifications to vehicles when they approach calculated CSD.By elaborately analyzing the vehicular movement features especially when braking,our CSD definition was introduced and its configuration method was given through dividing radio range into different communication zones.Based on our definition,the needed message propagation delay was also derived which could be used to control the beacon frequency or duration.Next,the detailed CSD expressions were proposed in different mobility scenarios by fully considering the relative movement status between the front and rear vehicles.Numerical results show that our proposed model could provide reasonable CSD under different movement scenarios which eliminates the unnecessary reserved inter-vehicle distance and guarantee the safety at the same time.The compared time-headway model always shows a smaller CSD due to focusing on traffic efficiency whereas the traditional braking model generally outputs a larger CSD because it assumes that the following car drives with a constant speed and did not discuss the scenario when the leading car suddenly stops.Different from these two models,our proposed model could well balances the requirements between driving safety and traffic throughput efficiency by generating a CSD in between the values of the two models in most cases.

Distance Control and Positive Security for Intrinsic Equipment Working in Explosive Potential Atmospheres

In this paper, intrinsic safety and positive security distance control for an up/down elevator which extracts the materials from an underground coal mine is approached. For a better understanding of intrinsic safety and positive security, the first part of the paper describes the potential risk the workers are facing while working in dangerous environments like coal mining with “grisou” atmospheres and what the conditions of an unfortunate event to take place are. We presented the diagram and working principle for intrinsic safety equipment used in potential explosive areas based on which we modeled and simulated the intrinsic and positive security distance control in order to get a software solution for it. We created an algorithm and simulated the process in Matlab Simulink. The simulation results done in Matlab Simulink were then entered into a Moeller PLC using a ladder-type programming language. For protection against explosive atmospheres, the PLC is inserted into a metal housing with intrinsic protection and Positive Security.

Hellinger distance based probability distribution approach to performance monitoring of nonlinear control systems

Control performance monitoring has attracted great attention in both academia and industry over the past two decades. However, most research efforts have been devoted to the performance monitoring of linear control systems, without considering the pervasive nonlinearities(e.g. valve stiction) present in most industrial control systems. In this work, a novel probability distribution distance based index is proposed to monitor the performance of non-linear control systems. The proposed method uses Hellinger distance to evaluate change of control system performance. Several simulation examples are given to illustrate the effectiveness of the proposed method.

Distance Control Algorithm for Automobile Automatic Obstacle Avoidance and Cruise System

With the improvement of automobile ownership in recent years,the incidence of traffic accidents constantly increases and requirements on the security of automobiles become increasingly higher.As science and technology develops constantly,the development of automobile automatic obstacle avoidance and cruise system accelerates gradually,and the requirement on distance control becomes stricter.Automobile automatic obstacle avoidance and cruise system can determine the conditions of automobiles and roads using sensing technology,automatically adopt measures to control automobile after discovering road safety hazards,thus to reduce the incidence of traffic accidents.To prevent accidental collision of automobile which are installed with automatic obstacle avoidance and cruise system,active brake should be controlled during driving.This study put forward a neural network based proportional-integral-derivative(PID)control algorithm.The active brake of automobiles was effectively controlled using the system to keep the distance between automobiles.Moreover the algorithm was tested using professional automobile simulation platform.The results demonstrated that neural network based PID control algorithm can precisely and efficiently control the distance between two cars.This work provides a reference for the development of automobile automatic obstacle avoidance and cruise system.

Minimum Time Overtaking Problem of Vehicle Handling Inverse Dynamics Based on Two Kinds of Safe Distances

Overtaking accidents caused by improper operations performed by a driver occur frequently. However, most stud?ies on overtaking safety have neglected research into driver control input. A novel method is proposed to obtain the driver control input during the overtaking process. Meanwhile, to improve the safety of overtaking, two types of safe distances, and the time of the overtaking are considered. Path constraints are established when considering the two types of safe distances. An optimal control model is established to solve the minimum time maneuver under multiple constraints. Using the Gauss pseudospectral method, the optimal control problem is converted into a nonlinear pro?gramming problem, which is then solved through sequential quadratic programming(SQP). In addition, the e ective?ness of the proposed method is verified based on the results of a Carsim simulation. The simulation results show that by adopting an inverse dynamics method to solve the manipulation problem of the vehicle’s minimum overtaking time, the manipulation capability of a vehicle in completing an overtaking safely within the minimum time can be obtained. This method can provide a reference for research into the active safety of manned and unmanned vehicles.

New Method for Confirming the Desired Safety Headway Distance and Desired Deceleration in ACC System

A new method of confirming the desired safety headway distance and desired deceleration is put forward according to the detected static or moving target and its simulation results in Matlab are also presented. The validity of the algorithm to calculate the reference speeds of both the ACC vehicle and the targeted car according to the vector quadrangle composed of the relative distance, the relative azimuth angle, the relative speeds of the vehicles has also been demonstrated through numerical example in Matlab. New laws to obtain the desired deceleration by estimating the braking force according to the vehicle analyses force equation are established too.

Resilient and Safe Platooning Control of Connected Automated Vehicles Against Intermittent Denial-of-Service Attacks

Connected automated vehicles(CAVs)serve as a promising enabler for future intelligent transportation systems because of their capabilities in improving traffic efficiency and driving safety,and reducing fuel consumption and vehicle emissions.A fundamental issue in CAVs is platooning control that empowers a convoy of CAVs to be cooperatively maneuvered with desired longitudinal spacings and identical velocities on roads.This paper addresses the issue of resilient and safe platooning control of CAVs subject to intermittent denial-of-service(DoS)attacks that disrupt vehicle-to-vehicle communications.First,a heterogeneous and uncertain vehicle longitudinal dynamic model is presented to accommodate a variety of uncertainties,including diverse vehicle masses and engine inertial delays,unknown and nonlinear resistance forces,and a dynamic platoon leader.Then,a resilient and safe distributed longitudinal platooning control law is constructed with an aim to preserve simultaneous individual vehicle stability,attack resilience,platoon safety and scalability.Furthermore,a numerically efficient offline design algorithm for determining the desired platoon control law is developed,under which the platoon resilience against DoS attacks can be maximized but the anticipated stability,safety and scalability requirements remain preserved.Finally,extensive numerical experiments are provided to substantiate the efficacy of the proposed platooning method.

Effect of direction error on the miss distance of rolling missiles with x-rudder

Based on the analysis of periodic equivalent control force of rolling missiles with x-rudder, the guidance loop model with direction error is established and the relationship between direction error and miss distance is analyzed. Results show that the miss distance is zero or a constant or infinite, and it is always zero when the real parts of system matrix eigenvalues decided by direction error are both positive values in an ideal system, in which all the lags are neglected. However, the miss distance gradually increases with the increase of the direction error and its variation is small when direction error is not more than 5° in the system, in which seeker lag and missile body lag are considered.

Effect of Source to Camera Distance and Count Rate on Intrinsic Uniformity of SPECT Gamma Camera

In this research, the excellent parameter for regular Quality Control (QC) testing of intrinsic uniformity for dual-head Single Photon Emission Computed Tomography (SPECT) gamma camera is determined. The integral and differential intrinsic uniformity tests for both Useful Field Of View (UFOV) and Centre Field Of View (CFOV) were done by insertion a point-source of 99mTc in front of the detectors with detached collimators to measure the effect of source to camera distance and a count rate on intrinsic uniformity. The result reveals that the best intrinsic uniformity image is obtained at source-to-camera distance of 3 m and a count rate between 16 and 60 M.

Information Security Evaluation of Industrial Control Systems Using Probabilistic Linguistic MCDM Method

Industrial control systems(ICSs)are widely used in various fields,and the information security problems of ICSs are increasingly serious.The existing evaluation methods fail to describe the uncertain evaluation information and group evaluation information of experts.Thus,this paper introduces the probabilistic linguistic term sets(PLTSs)to model the evaluation information of experts.Meanwhile,we propose a probabilistic linguistic multi-criteria decision-making(PL-MCDM)method to solve the information security assessment problem of ICSs.Firstly,we propose a novel subscript equivalence distance measure of PLTSs to improve the existing methods.Secondly,we use the Best Worst Method(BWM)method and Criteria Importance Through Inter-criteria Correlation(CRITIC)method to obtain the subjective weights and objective weights,which are used to derive the combined weights.Thirdly,we use the subscript equivalence distance measure method and the combined weight method to improve the probabilistic linguistic Visekriterijumska Optimizacija I Kompromisno Resenje(PL-VIKOR)method.Finally,we apply the proposed method to solve the information security assessment problem of ICSs.When comparing with the existing methods such as the probabilistic linguistic Tomada deDecisão Iterativa Multicritério(PL-TODIM)method and probabilistic linguistic Technique for Order Preference by Similarity to Ideal Solution(PL-TOPSIS)method,the case example shows that the proposed method can provide more reasonable ranking results.By evaluating and ranking the information security level of different ICSs,managers can identify problems in time and guide their work better.

电力电子设备谐波对主网的影响分析与对策探索

为保障新型电力系统的建设,对电力电子设备谐波对主网的影响进行了分析,分析了主网层谐波的3个主要特征:海量的分布式谐波源接入、线路电容对谐波的放大效应、谐波的远距离传播。上述因素相互叠加,造成了当前主网层的普遍超标现象。在遵循公认的“谁污染、谁治理”的源头治理基础上,对主网层的谐波治理进行了探索,从机理和案例上分析了不同治理措施的优劣,建议当前采用“谁受害、谁治理”的方案实行终端治理,长远应考虑从源头、地区电网、新建主网站点进行谐波的综合治理。

基于冲能吸能平衡效应的冲击地压巷道分级支护研究

冲击地压是煤炭开采过程中发生的一种动力灾害,主要是由积聚在煤岩中的弹性变形能突然急剧释放造成的,约90%发生在巷道中。巷道冲击破坏不仅与冲击能量直接相关,还与冲击距离远近紧密相关,提出能距比的概念,即冲击震源释放能量与其至巷道距离的比值。根据冲击地压动静载叠加机制和冲能吸能平衡理论,综合考虑冲击震源能距比量级、巷道破坏程度、支护构件吸能、弱结构吸能等特性,建立了巷道围岩冲击矿震稳定性控制模型,分析了冲能、吸能的构成和计算过程,搭建了冲击地压能级与巷道支护强度之间的对应关系,确定了“四高锚网+”为主导技术的煤矿巷道防冲抗震支护体系。根据能距比量级大小,将冲击地压巷道支护安全可靠性分为P1~P4级别,分级对应采取不同支护强度的“四高锚网+”组合支护技术。“四高”锚网支护可对应能距比为102量级的无冲击巷道,“四高锚网+1”(O型钢棚、吸能防冲单元架、围岩弱结构)对应能距比为103量级的冲击地压,“四高锚网+2”对应能距比为104量级的冲击地压,“四高锚网+3”对应能距比为105量级的冲击地压,106及以上量级的冲击危险必须停产、撤人远场处理。结合工程实例进行了巷道防冲支护方案和参数设计,初步验证了理论研究成果的可行性和实用性。研究成果可为我国煤矿冲击地压巷道支护理论研究和工程实践提供一定的参考指导。

柔性低频输电系统的故障分量特征及保护适用性分析

柔性低频输电系统由于运行频率的改变以及柔性低频换流站的控制机理,其故障特征以及对保护原理的影响较为复杂。为了分析故障分量保护原理在柔性低频输电系统中的适用性问题,基于柔性低频换流站的控制架构,建立了以故障限流为故障控制策略的双端型低频输电模型。计及该系统线路发生三相故障的控制特性,分析了不同情况下的低频故障分量阻抗特性,并推导出低频等值阻抗的量化计算式,进而从理论上分析其对传统故障分量保护元件的影响机理。最后,在PSCAD/EMTDC平台上搭建了双端低频输电测试模型对理论分析进行仿真验证。研究结果表明:柔性低频输电系统在一定故障条件下可造成故障分量保护范围缩小,甚至使得保护元件完全失效,研究结果对于低频系统继电保护研究的开展具有一定的参考作用。

基于最优转向曲率的无人车横向控制

为提高无人车横向控制性能,提出一种基于最优转向曲率的控制方法。利用车辆运动学约束,求解最优转向曲率的解析形式;采用线性化方法证明由该控制方法构成的闭环系统在平衡点附近的零输入局部稳定性;用数值方法定量分析保证闭环系统局部稳定的车速与预瞄距离的关系;提出一定车速下的最优预瞄距离的概念,用数值方法求解最优预瞄距离与车速的关系;探讨执行机构动态特性对闭环系统稳定性的影响。仿真和实车实验结果表明:在非零输入下,无人车依然可以稳定运行。

基于RRT算法的远距离自动泊车路径规划及仿真

泊车路径规划是自动泊车技术的重要组成部分。本文分析了现有的泊车路径规划方法,针对远距离自动泊车,提出基于BRT算法的路径规划。根据实际泊车操作过程,将自动泊车划分为远距离靠近泊位和泊入泊位两个阶段,采用基于反向RRT算法分别设计满足车辆运动模型和避障要求的路径规划算法,并在平行泊车、垂直泊车、反向斜方位泊车、正向斜方位泊车和角落平行泊车场景下进行仿真实验。

基于变前视距离的四轮同步转向农机改进纯跟踪控制

路径跟踪控制是提高自主导航系统控制精度的关键。针对在复杂农田作业环境下转弯时纯跟踪算法跟踪精度不高的问题,本文提出了一种基于改进纯追踪模型的四轮同步转向农机路径跟踪控制算法。建立了基于四轮同步转向农机的运动学模型和纯跟踪模型,在此基础上考虑航向误差得到改进纯跟踪模型,进行RTK定位坐标修正,根据量化误差的评价函数搜索前视区域最优目标点,得到最优前视距离。本文算法能实时确定四轮同步转向农机改进纯跟踪模型中的前视距离,使航向误差和横向误差最小化,实现目标点的自适应优化。仿真结果表明,本文方法转弯时平均绝对横向误差减至0.035 m,平均绝对航向误差减至0.212°;水田实验结果表明,当四轮同步转向农机作业速度为3.6 km/h时,四轮转向农机轨迹跟踪平均绝对横向误差减至0.109 m,平均绝对航向误差减至2.799°,转弯跟踪精度显著提高。

基于车路协同的快速路合流区可变限速控制方法

针对快速路合流区通行效率低的问题,利用车路协同环境下实时信息采集与交互技术,基于Gipps安全距离模型,对METANET模型进行改进;将动态安全距离融入可变限速控制中,建立起主线可变限速的控制方法和模型,引导匝道车辆利用主线可插间隙汇入,提高了快速路合流区的通行效率和匝道汇入的成功率;利用VISSIM与MATLAB联合搭建仿真控制环境,在不同流量下对所提出的控制策略进行仿真评估。研究结果表明:在中、高流量下,可变限速的控制策略使得速度分别提升了8.75%、 9.28%,密度分别降低了9.45%、 9.77%,行程时间分别降低了9.29%、 8.88%;延误分别降低了9.21%、 8.84%;证明了该可变限速控制策略能提升合流区通行效率,改善交通流运行状态。

矿用无人运输车辆精准停靠控制算法

以无人驾驶矿用运输车为平台,开展精准停靠控制试验研究。为尽可能精确地到达期望停靠位置,首先设计距离-速度规划方案,在此基础上提出1种前馈加反馈的执行器开度控制算法;其次,在底层控制中考虑加速度补偿项,并对制动切换逻辑进行优化;最后进行仿真测试和实车试验,通过测试纠正控制参数,避免掉烦琐的系统参数辨识。结果表明:采用精准停靠策略能降低干扰引起的速度波动,优化底层控制逻辑,有效提高停靠精度。