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Fuzzy logic based on-line efficiency optimization control of an indirect vector-controlled induction motor drive

机译:间接矢量控制感应电动机驱动器的基于模糊逻辑的在线效率优化控制

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Improvement of adjustable speed drive system efficiency is important not only from the viewpoints of energy saving and cooling system operation, but also from the broad perspective of environmental pollution. The paper describes a fuzzy logic based on-line efficiency optimization control of a drive that uses an indirect vector controlled induction motor speed control system in the inner loop. At steady-state light-load condition, a fuzzy controller adaptively decrements the excitation current on the basis of measured input power such that, for a given load torque and speed, the drive settles down to the minimum input power, i.e., operates at maximum efficiency. The low-frequency pulsating torque due to decrementation of rotor flux is compensated in a feedforward manner. If the load torque or speed command changes, the efficiency search algorithm is abandoned and the rated flux is established to get the best transient response. The drive system with the proposed efficiency optimization controller has been simulated with lossy models of the converter and machine, and its performance has been thoroughly investigated. An experimental drive system with the proposed controller implemented on a TMS320C25 digital signal processor, has been tested in the laboratory to validate the theoretical development.
机译:不仅从节能和冷却系统运行的角度看,而且从广泛的环境污染角度来看,提高变速驱动系统的效率很重要。本文介绍了一种基于模糊逻辑的驱动器在线效率优化控制,该驱动器在内环中使用间接矢量控制的感应电动机速度控制系统。在稳态轻载条件下,模糊控制器根据测得的输入功率自适应地减小励磁电流,以使在给定的负载转矩和速度下,驱动器稳定至最小输入功率,即以最大功率运行效率。由于转子磁通的减少而引起的低频脉动转矩被前馈方式补偿。如果负载转矩或速度指令发生变化,则放弃效率搜索算法,并建立额定磁通以获得最佳瞬态响应。使用变频器和电机的有损模型对带有拟议的效率优化控制器的驱动系统进行了仿真,并对其​​性能进行了深入研究。在实验室中测试了带有建议控制器的TMS320C25数字信号处理器上实现的实验驱动系统,以验证理论发展。

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