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Design Close-Loop Control of BLDC Motor Speed Using Fuzzy Logic Method in Solar Power Water Pump with MATLAB/Simulink

机译:基于MATLAB / Simulink的太阳能水泵BLDC电机转速的模糊逻辑设计闭环控制

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In this research, the design of close loop BLDC motor speed control was designed with several simulation test conditions and also discuss the differences of boost converter with Fuzzy control and boost converter without Fuzzy control. The BLDC motor specifications used in this research are 3 phase, constant voltage is 80 V_peak L-L/krpm and the moment of inertia is 0.000553 J (kgm2). The specifications of the solar were Canadian CS5T 130M with a maximum power = 129W. The test results on the boost converter without using Fuzzy controls have fluctuating voltages. Whereas when using Fuzzy Logic, the output voltage is stable and the voltage is ± 100 V. In simulation. Fuzzy Logic circuits have THD values amounting to 2.68%, which corresponds to the standards specified by IEEE for voltages below 1 kV = <; 5%. The simulation test results with several conditions have made a difference in the results of the motor speed response. Based on the results of the simulation test, it is known that the speed control with the Fuzzy Logic circuit has better results compared to the open loop circuit.
机译:在这项研究中,闭环BLDC电动机速度控制的设计是在几种模拟测试条件下进行的,并且还讨论了带模糊控制的升压转换器和不带模糊控制的升压转换器的区别。本研究中使用的BLDC电机规格为3相,恒定电压为80 V_peak L-L / krpm,惯性矩为0.000553 J(kgm2)。太阳能的规格为加拿大CS5T 130M,最大功率= 129W。在不使用模糊控制的情况下,升压转换器上的测试结果会产生波动的电压。而使用模糊逻辑时,输出电压稳定且电压为±100V。在仿真中。模糊逻辑电路的THD值达2.68%,与IEEE针对低于1 kV = <的电压所指定的标准相对应; 5%。在几种条件下的模拟测试结果使电动机速度响应的结果有所不同。根据仿真测试的结果,可以知道,与开环电路相比,使用模糊逻辑电路进行速度控制具有更好的结果。

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