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Robust control of switched reluctance motor drives using Kharitonov theorem and swarm intelligence

机译:使用Kharitonov定理和群智能对开关磁阻电机驱动器进行鲁棒控制

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摘要

The paper presents a design technique for proportional integral (PI) robust current and speed controllers of switched reluctance motor (SRM) drives. The variations of stator inductance, equivalent resistance, moment of inertia and coefficient of friction are considered leading to uncertain plant representation of the drive. Robustness of the controllers is achieved through Kharitonov theorem considering parameter uncertainties over wide ranges of operation. To attain best performance, the design is cast as an optimisation problem solved by particle swarm optimisation (PSO) to ensure maximum possible degree of stability. Extensive comparisons with the classical methods are carried out showing noteworthy advantages of the proposed routine.
机译:本文提出了一种用于开关磁阻电机(SRM)驱动器的比例积分(PI)鲁棒电流和速度控制器的设计技术。定子电感,等效电阻,惯性矩和摩擦系数的变化被认为导致不确定的驱动装置表示。控制器的鲁棒性是通过Kharitonov定理实现的,该定理考虑了在广泛的操作范围内的参数不确定性。为了获得最佳性能,将设计视为通过粒子群优化(PSO)解决的优化问题,以确保最大程度的稳定性。与经典方法进行了广泛的比较,显示了所建议程序的显着优势。

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