The Ocean 4A scatterometer, expected to be launched in 2024, is poised to be the world’s first spaceborne microwave scatterometer utilizing a digital beamforming system. To ensure high-precision measurements and perf...The Ocean 4A scatterometer, expected to be launched in 2024, is poised to be the world’s first spaceborne microwave scatterometer utilizing a digital beamforming system. To ensure high-precision measurements and performance sta-bility across diverse environments, stringent requirements are placed on the dynamic range of its receiving system. This paper provides a detailed exposition of a field-programmable gate array (FPGA)-based automatic gain control (AGC) design for the spaceborne scatterometer. Implemented on an FPGA, the algo-rithm harnesses its parallel processing capabilities and high-speed performance to monitor the received echo signals in real time. Employing an adaptive AGC algorithm, the system gene-rates gain control codes applicable to the intermediate fre-quency variable attenuator, enabling rapid and stable adjust-ment of signal amplitudes from the intermediate frequency amplifier to an optimal range. By adopting a purely digital pro-cessing approach, experimental results demonstrate that the AGC algorithm exhibits several advantages, including fast con-vergence, strong flexibility, high precision, and outstanding sta-bility. This innovative design lays a solid foundation for the high-precision measurements of the Ocean 4A scatterometer, with potential implications for the future of spaceborne microwave scatterometers.展开更多
近年来电网对火电机组自动发电控制(automatic gain control,AGC)响应能力提出日益严苛的要求。针对火电机组快速变负荷问题提出一种基于凝结水节流的AGC负荷控制策略。设计协调补偿系统对机炉侧和节流侧功率控制进行解耦,基于锅炉热量...近年来电网对火电机组自动发电控制(automatic gain control,AGC)响应能力提出日益严苛的要求。针对火电机组快速变负荷问题提出一种基于凝结水节流的AGC负荷控制策略。设计协调补偿系统对机炉侧和节流侧功率控制进行解耦,基于锅炉热量信号计算节流功率增量定值,基于节流功率反馈模型对机炉侧负荷控制补偿。在源网联合仿真平台上对改进的AGC响应控制策略进行仿真评估,结果证明,该策略能够在连续稳定控制凝结水节流系统的同时,有效改善火电机组AGC考核指标和控制性能标准(control performance standard,CPS)考核指标,提高火电机组参与电网AGC调节的能力。展开更多
文摘The Ocean 4A scatterometer, expected to be launched in 2024, is poised to be the world’s first spaceborne microwave scatterometer utilizing a digital beamforming system. To ensure high-precision measurements and performance sta-bility across diverse environments, stringent requirements are placed on the dynamic range of its receiving system. This paper provides a detailed exposition of a field-programmable gate array (FPGA)-based automatic gain control (AGC) design for the spaceborne scatterometer. Implemented on an FPGA, the algo-rithm harnesses its parallel processing capabilities and high-speed performance to monitor the received echo signals in real time. Employing an adaptive AGC algorithm, the system gene-rates gain control codes applicable to the intermediate fre-quency variable attenuator, enabling rapid and stable adjust-ment of signal amplitudes from the intermediate frequency amplifier to an optimal range. By adopting a purely digital pro-cessing approach, experimental results demonstrate that the AGC algorithm exhibits several advantages, including fast con-vergence, strong flexibility, high precision, and outstanding sta-bility. This innovative design lays a solid foundation for the high-precision measurements of the Ocean 4A scatterometer, with potential implications for the future of spaceborne microwave scatterometers.
文摘近年来电网对火电机组自动发电控制(automatic gain control,AGC)响应能力提出日益严苛的要求。针对火电机组快速变负荷问题提出一种基于凝结水节流的AGC负荷控制策略。设计协调补偿系统对机炉侧和节流侧功率控制进行解耦,基于锅炉热量信号计算节流功率增量定值,基于节流功率反馈模型对机炉侧负荷控制补偿。在源网联合仿真平台上对改进的AGC响应控制策略进行仿真评估,结果证明,该策略能够在连续稳定控制凝结水节流系统的同时,有效改善火电机组AGC考核指标和控制性能标准(control performance standard,CPS)考核指标,提高火电机组参与电网AGC调节的能力。
