{"title":"基于模糊逻辑的小型风力发电机组MPPT控制器","authors":"D. Petrila, F. Blaabjerg, N. Muntean, C. Lascu","doi":"10.1109/OPTIM.2012.6231936","DOIUrl":null,"url":null,"abstract":"This paper describes the design of a maximum power point tracking (MPPT) strategy for a variable speed, small scale, wind turbine systems based on a fuzzy logic controller (FLC). The FLC has as input variables the change in mechanical power (ΔPm), the change in rotor speed (Δω), and the sign of ΔPm/Δω. The change of reference generator current (ΔI*) is the output variable. For small power applications, when the turbine inertia is relatively small, and the wind speed changes continuously, it is important to consider the transients in order to develop an accurate theoretical model and to attain optimal operation. Therefore, the mechanical power (Pm) is composed of the generator mechanical (input) power (Pg) plus the dynamic power, resulting in the dynamic power versus rotating speed curve. The controller is able to track the maximum power point for changing wind conditions, and is robust with respect to turbine parameter changes. The FLC is described, analyzed and validated by digital simulations.","PeriodicalId":382406,"journal":{"name":"2012 13th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM)","volume":"92 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":"{\"title\":\"Fuzzy logic based MPPT controller for a small wind turbine system\",\"authors\":\"D. Petrila, F. Blaabjerg, N. Muntean, C. Lascu\",\"doi\":\"10.1109/OPTIM.2012.6231936\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes the design of a maximum power point tracking (MPPT) strategy for a variable speed, small scale, wind turbine systems based on a fuzzy logic controller (FLC). The FLC has as input variables the change in mechanical power (ΔPm), the change in rotor speed (Δω), and the sign of ΔPm/Δω. The change of reference generator current (ΔI*) is the output variable. For small power applications, when the turbine inertia is relatively small, and the wind speed changes continuously, it is important to consider the transients in order to develop an accurate theoretical model and to attain optimal operation. Therefore, the mechanical power (Pm) is composed of the generator mechanical (input) power (Pg) plus the dynamic power, resulting in the dynamic power versus rotating speed curve. The controller is able to track the maximum power point for changing wind conditions, and is robust with respect to turbine parameter changes. The FLC is described, analyzed and validated by digital simulations.\",\"PeriodicalId\":382406,\"journal\":{\"name\":\"2012 13th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM)\",\"volume\":\"92 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"16\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 13th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/OPTIM.2012.6231936\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 13th International Conference on Optimization of Electrical and Electronic Equipment (OPTIM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/OPTIM.2012.6231936","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fuzzy logic based MPPT controller for a small wind turbine system
This paper describes the design of a maximum power point tracking (MPPT) strategy for a variable speed, small scale, wind turbine systems based on a fuzzy logic controller (FLC). The FLC has as input variables the change in mechanical power (ΔPm), the change in rotor speed (Δω), and the sign of ΔPm/Δω. The change of reference generator current (ΔI*) is the output variable. For small power applications, when the turbine inertia is relatively small, and the wind speed changes continuously, it is important to consider the transients in order to develop an accurate theoretical model and to attain optimal operation. Therefore, the mechanical power (Pm) is composed of the generator mechanical (input) power (Pg) plus the dynamic power, resulting in the dynamic power versus rotating speed curve. The controller is able to track the maximum power point for changing wind conditions, and is robust with respect to turbine parameter changes. The FLC is described, analyzed and validated by digital simulations.