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变速恒频双馈风力发电机的最优功率控制 被引量:1
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作者 姚兴佳 韩嵩崟 +1 位作者 赵希梅 郭庆鼎 《电气技术》 2011年第8期1-4,共4页
本文针对风力发电机组的不确定性及多干扰的问题,以追踪最大风能作为有功功率控制目标。提出了采用模糊逻辑推理控制的方法得到低风速时发电机的参考转速,利用自适应最优模糊控制与直接转矩控制相结合的方法来控制发电机的电磁转矩的方... 本文针对风力发电机组的不确定性及多干扰的问题,以追踪最大风能作为有功功率控制目标。提出了采用模糊逻辑推理控制的方法得到低风速时发电机的参考转速,利用自适应最优模糊控制与直接转矩控制相结合的方法来控制发电机的电磁转矩的方案,并且使用Matlab软件对该方案应用于1.5MW双馈型风电机组系统进行仿真研究。仿真结果表明了在风速变化时,发电机实际转速可以很快跟踪最佳理论值,转矩平衡,变速恒频风电机组功率输出具有较好的跟踪效果,系统性能稳定,达到了最优功率的目标。 展开更多
关键词 模糊逻辑推理控制 参考转速 自适应最优模糊控制 直接转矩控制 变速恒频
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Development of single-chip fuzzy controller based on FFSI in binary 被引量:1
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作者 张吉礼 欧进萍 孙德兴 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2003年第3期269-274,共6页
Length and concise structure of fuzzy logic reasoning program and its real-time reasoning characteris-tic have their effect on the performance of a digital single-chip fuzzy controller. The control effect of a digital... Length and concise structure of fuzzy logic reasoning program and its real-time reasoning characteris-tic have their effect on the performance of a digital single-chip fuzzy controller. The control effect of a digitalfuzzy controller based on looking up fuzzy control responding table is only relative to the table and not relative tothe fuzzy control rules in the practical control process. Aiming at above problem and having combined fuzzy log-ic reasoning with digital operational characteristics of a single-chip microcomputer, functioning-fuzzy-subset in-ference (FFSI) in binary, in which triangle membership functions of error and error-in-change are all represen-ted in binary and singleton membership functions of control variable is binary too, has been introduced. The cir-cuit principle plans of a single-chip fuzzy controller have been introduced for development of its hardware, andthe primary program structure, fuzzy logic reasoning subroutine, serial communication subroutine with PC andreliability design of the fuzzy controller are all discussed in detail. The control of indoor temperature by a fuzzycontroller has been conducted using a testing-room thermodynamic system. Research results show that the FFSIin binary can exercise a concise fuzzy control in a single-chip fuzzy controller, and the fuzzy controller is there-fore reliable and possesses a high performance-price ratio. 展开更多
关键词 functioning-fuzzy-subset inference single-chip fuzzy controller testing-room thermodynamic system indoor temperature experiment
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Fuzzy Based Auto-coagulation Control Through Photometric Dispersion Analyzer
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作者 白桦 李圭白 《Journal of Harbin Institute of Technology(New Series)》 EI CAS 2004年第2期164-167,共4页
The main role of water treatment plants is to supply high-quality safe drinking water. Coagulation is one of the most important stages of surface water treatment. The photometric dispersion analyzer(PDA) is a new opti... The main role of water treatment plants is to supply high-quality safe drinking water. Coagulation is one of the most important stages of surface water treatment. The photometric dispersion analyzer(PDA) is a new optical method for flocculation monitoring, and is feasible to realize coagulation feedback control. The on line modification of the coagulation control system' s set point( or optimum dosing coagulant) has influenced the application of this technology in water treatment plant for a long time. A fuzzy control system incorporating the photometric dispersion analyzer was utilized in this coagulation control system. Proposed is a fuzzy logic inference control system by using Takagi and Sugeno' s fuzzy if-then rule for the self-correction of set point on line. Programmed is the dosing rate fuzzy control system in SIEMENS small-scale programmable logic controller. A 400 L/min middle-scale water treatment plant was utilized to simulate the reaction. With the changes of raw water quality, the set point was modified correctly in time, as well as coagulant dosing rate, and residual turbility before filtration was eligible and stable. Results show that this fuzzy inference and control system performs well on the coagulation control system through PDA. 展开更多
关键词 COAGULATION dosing rate control photometric dispersion analyzer fuzzy control fuzzy logic inference OPTIMUM water treatment
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