This paper focuses on a combination of three-phase VSI （voltage source inverter） with a predictive current control to provide an optimized system for three-phase inverters that control the load current. A FS-MPC （f...This paper focuses on a combination of three-phase VSI （voltage source inverter） with a predictive current control to provide an optimized system for three-phase inverters that control the load current. A FS-MPC （finite set-model predictive control） strategy for a three-phase VSI for RES （renewable energy systems） applications is implemented. The renewable energy systems model is used in this paper to investigate the system performance when power is supplied to resistive-inductive load. With three different cases, the evaluation of the system is done. Firstly, the robustness of control strategy under variable DC-Link is done in terms of the THD （total harmonic distortion）. Secondly, with one prediction step, the system performance is tested using different sampling time, and lastly, the dynamic response of the system with step change in the amplitude of the reference is investigated. The simulations and result analyses are carried out using Matlab/Simulink to test the effectiveness and robustness of FS-MPC for two-level VSI with AC filter for resistive-inductive load supplied by a renewable energy system.展开更多
为深入探究民航危险品运输收运工作人员与教员、专家的风险认知差异情况,提升收运工作人员的风险信息寻求与处置能力,首先,基于风险信息搜寻与加工(risk information seeking and processing,RISP)模型理论,构建了民航危险品运输收运人...为深入探究民航危险品运输收运工作人员与教员、专家的风险认知差异情况,提升收运工作人员的风险信息寻求与处置能力,首先,基于风险信息搜寻与加工(risk information seeking and processing,RISP)模型理论,构建了民航危险品运输收运人员风险认知差异模型;然后,根据该模型,建立了个人特征、知觉风险特征、情感响应等7个维度下的收运人员风险认知差异测度指标体系;最后,采用集对分析方法对各测度指标进行了联系度计算,识别出关键影响因素,并对产生风险认知差异的原因进行了系统分析,进而提出了应对策略。结果表明,民航危险品运输收运工作人员与教员、专家在工作年限(F2)、描述性规范(F10)、结果期待(F14)、信息可及性(F15)、可信度(F16)、负向情感(F8)和所需信息水平(F12)7个关键影响因素上存在显著的认知差异。研究结果可为优化民航危险品运输收运工作人员的风险认知与决策水平,从而有效提高危险品运输的安全性与应急响应能力提供参考。展开更多
自愿型环境规制对实现环境高水平保护至关重要。本研究基于熵权逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS),从企业参与和履约两个维度对ISO 14001环境管理体系认证的重污染企业进行自...自愿型环境规制对实现环境高水平保护至关重要。本研究基于熵权逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS),从企业参与和履约两个维度对ISO 14001环境管理体系认证的重污染企业进行自愿型环境规制绩效综合评价;进而在“技术—组织—环境”(technology-organization-environment,TOE)理论框架下,结合模糊集定性比较分析(fuzzy-set qualitative comparative analysis,fsQCA)方法,系统探究影响企业自愿型环境规制绩效的组态路径。研究表明:企业之间的自愿型环境规制绩效发展呈现不均衡状态;技术、组织或环境中的单一因素并不能构成企业自愿型环境规制绩效的必要条件,但在多因素协同联动下可形成三条提高自愿型环境规制绩效的组态路径,可归纳为“技术—组织”主导型和“技术—环境”主导型两种驱动模式。本文拓展了自愿型环境规制研究领域的技术方法与理论成果,能够为我国自愿型环境规制绩效的提升提供理论依据和实践参考。展开更多
文摘This paper focuses on a combination of three-phase VSI （voltage source inverter） with a predictive current control to provide an optimized system for three-phase inverters that control the load current. A FS-MPC （finite set-model predictive control） strategy for a three-phase VSI for RES （renewable energy systems） applications is implemented. The renewable energy systems model is used in this paper to investigate the system performance when power is supplied to resistive-inductive load. With three different cases, the evaluation of the system is done. Firstly, the robustness of control strategy under variable DC-Link is done in terms of the THD （total harmonic distortion）. Secondly, with one prediction step, the system performance is tested using different sampling time, and lastly, the dynamic response of the system with step change in the amplitude of the reference is investigated. The simulations and result analyses are carried out using Matlab/Simulink to test the effectiveness and robustness of FS-MPC for two-level VSI with AC filter for resistive-inductive load supplied by a renewable energy system.
文摘为深入探究民航危险品运输收运工作人员与教员、专家的风险认知差异情况,提升收运工作人员的风险信息寻求与处置能力,首先,基于风险信息搜寻与加工(risk information seeking and processing,RISP)模型理论,构建了民航危险品运输收运人员风险认知差异模型;然后,根据该模型,建立了个人特征、知觉风险特征、情感响应等7个维度下的收运人员风险认知差异测度指标体系;最后,采用集对分析方法对各测度指标进行了联系度计算,识别出关键影响因素,并对产生风险认知差异的原因进行了系统分析,进而提出了应对策略。结果表明,民航危险品运输收运工作人员与教员、专家在工作年限(F2)、描述性规范(F10)、结果期待(F14)、信息可及性(F15)、可信度(F16)、负向情感(F8)和所需信息水平(F12)7个关键影响因素上存在显著的认知差异。研究结果可为优化民航危险品运输收运工作人员的风险认知与决策水平,从而有效提高危险品运输的安全性与应急响应能力提供参考。
文摘自愿型环境规制对实现环境高水平保护至关重要。本研究基于熵权逼近理想解排序法(technique for order preference by similarity to ideal solution,TOPSIS),从企业参与和履约两个维度对ISO 14001环境管理体系认证的重污染企业进行自愿型环境规制绩效综合评价;进而在“技术—组织—环境”(technology-organization-environment,TOE)理论框架下,结合模糊集定性比较分析(fuzzy-set qualitative comparative analysis,fsQCA)方法,系统探究影响企业自愿型环境规制绩效的组态路径。研究表明:企业之间的自愿型环境规制绩效发展呈现不均衡状态;技术、组织或环境中的单一因素并不能构成企业自愿型环境规制绩效的必要条件,但在多因素协同联动下可形成三条提高自愿型环境规制绩效的组态路径,可归纳为“技术—组织”主导型和“技术—环境”主导型两种驱动模式。本文拓展了自愿型环境规制研究领域的技术方法与理论成果,能够为我国自愿型环境规制绩效的提升提供理论依据和实践参考。
