Department of Electrical Engineering, University of Chile, Av. Tupper 2007, Santiago de Chile, Chile; Advanced Mining Technology Center, Av. Tupper 2007, Santiago de Chile, Chile.
ISA Trans. 2013 Nov;52(6):807-15. doi: 10.1016/j.isatra.2013.06.005. Epub 2013 Jul 7.
This paper presents the application of a direct Fractional Order Model Reference Adaptive Controller (FOMRAC) to an Automatic Voltage Regulator (AVR). A direct FOMRAC is a direct Model Reference Adaptive Control (MRAC), whose controller parameters are adjusted using fractional order differential equations. Four realizations of the FOMRAC were designed in this work, each one considering different orders for the plant model. The design procedure consisted of determining the optimal values of the fractional order and the adaptive gains for each adaptive law, using Genetic algorithm optimization. Comparisons were made among the four FOMRAC designs, a fractional order PID (FOPID), a classical PID, and four Integer Order Model Reference Adaptive Controllers (IOMRAC), showing that the FOMRAC can improve the controlled system behavior and its robustness with respect to model uncertainties. Finally, some performance indices are presented here for the controlled schemes, in order to show the advantages and disadvantages of the FOMRAC.
本文提出了一种直接分数阶模型参考自适应控制器(FOMRAC)在自动电压调节器(AVR)中的应用。直接 FOMRAC 是一种直接的模型参考自适应控制(MRAC),其控制器参数通过分数阶微分方程进行调整。在这项工作中设计了四个 FOMRAC 实现方案,每个方案都考虑了不同的植物模型阶数。设计过程包括使用遗传算法优化来确定每个自适应律的最优分数阶和自适应增益值。对四个 FOMRAC 设计、分数阶 PID(FOPID)、经典 PID 和四个整数阶模型参考自适应控制器(IOMRAC)进行了比较,结果表明 FOMRAC 可以改善被控系统的性能,提高其对模型不确定性的鲁棒性。最后,本文提出了一些被控方案的性能指标,以展示 FOMRAC 的优缺点。