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
大语言模型(Large Language Model, LLM),尤其是一些预训练的深度神经网络,拥有强大的表征学习能力,不仅能学习典型的软件缺陷,还能够深度分析软件隐含的缺陷,给出风险提示和改进建议。大模型的应用,使得测试方法和流程更加智能化,且能...大语言模型(Large Language Model, LLM),尤其是一些预训练的深度神经网络,拥有强大的表征学习能力,不仅能学习典型的软件缺陷,还能够深度分析软件隐含的缺陷,给出风险提示和改进建议。大模型的应用,使得测试方法和流程更加智能化,且能够发现之前难以捕捉的复杂缺陷。航天器软件以其独特性、专业性、复杂性、高可靠性、高安全性的特点,需要通过专业的方法训练专业的大模型来满足航天嵌入式软件测试的需要。研究表明,大模型结合有效的测试方法形成的完备思维链(Chain of Thought, Cot)可以有效提高软件缺陷检出率。将测试专家的思维和大模型相结合,用专家思维链引导大模型查找软件缺陷,在提示词中增加测试专家的思维链可以有效提升软件缺陷检出效率,保证软件质量,显著提升测试团队的整体专业水平。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.
文摘大语言模型(Large Language Model, LLM),尤其是一些预训练的深度神经网络,拥有强大的表征学习能力,不仅能学习典型的软件缺陷,还能够深度分析软件隐含的缺陷,给出风险提示和改进建议。大模型的应用,使得测试方法和流程更加智能化,且能够发现之前难以捕捉的复杂缺陷。航天器软件以其独特性、专业性、复杂性、高可靠性、高安全性的特点,需要通过专业的方法训练专业的大模型来满足航天嵌入式软件测试的需要。研究表明,大模型结合有效的测试方法形成的完备思维链(Chain of Thought, Cot)可以有效提高软件缺陷检出率。将测试专家的思维和大模型相结合,用专家思维链引导大模型查找软件缺陷,在提示词中增加测试专家的思维链可以有效提升软件缺陷检出效率,保证软件质量,显著提升测试团队的整体专业水平。
