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A robust LQR-FOPI~λD~μ controller design for output voltage regulation of stand-alone self-excited induction generator

机译:一种坚固的LQR-FOPI〜λd〜μ控制器设计,用于输出电压调节独立式自兴电流发电机

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This paper presents several optimal controllers compared with a robust control method for the terminal voltage regulation of a stand-alone self-excited induction generator (SEIG) with fixed capacitor and thyristor controlled reactor (FC-TCR). The major challenge of designing process of the controllers is the nonexistence of perfect model of SEIG. Therefore, small-signal based models for the output voltage and frequency are carried out using real input-output data. Accordingly, Linear Quadratic Regulator (LQR), Linear Quadratic Integral (LQI) and Linear Quadratic Fractional Order Integral (LQFOI(lambda)) controllers are designed to regulate output voltage. Moreover, novelty and main contribution of the paper is to design a hybrid controller which combines LQR and Fractional Order Proportional Integral Derivative (LQR-(FOPID mu)-D-lambda) controller to ensure the best tracking dynamics, robustness against disturbances and sensor noise suppression. The proposed hybrid LQR-(FOPID mu)-D-lambda controller is obtained by solving H-infinity weighted mixed sensitivity problem. Optimization process of the controller parameters is implemented by using particle swarm optimization (PSO) algorithm. Matlab/Simulink program is used to compare the effectiveness of the proposed controllers. Furthermore, the experimental results show that robust LQR-(FOPID mu)-D-lambda controller has the best tracking dynamics among them with less overshoot, settling time as well as the robust structure against external disturbances and sensor noises.
机译:本文介绍了几种最佳控制器,与具有固定电容器和晶闸管控制反应器(FC-TCR)的独立式自兴电流发电机(SEIG)的终端电压调节的稳健控制方法相比。控制者设计过程的主要挑战是SEIG完美模型的不存在性。因此,使用实际输入输出数据执行用于输出电压和频率的小信号的模型。因此,线性二次调节器(LQR),线性二次积分(LQI)和线性二次分数整体(LQFOI(LABDA))控制器旨在调节输出电压。此外,本文的新颖性和主要贡献是设计一种混合控制器,它将LQR和分数顺序成比例积分衍生物(LQR-(FoPID MU)-D-Lambda)控制器结合起来,以确保最佳跟踪动态,对抗扰动和传感器噪声的鲁棒性抑制。通过求解H-Infinity加权混合敏感性问题,获得了所提出的杂交LQR-(FoPID MU)-D-Lambda控制器。通过使用粒子群优化(PSO)算法来实现控制器参数的优化过程。 MATLAB / SIMULINK程序用于比较所提出的控制器的有效性。此外,实验结果表明,强大的LQR-(FoPID MU)-D-Lambda控制器在它们之间具有最佳的跟踪动态,具有较少的过冲,稳定时间以及对外扰动和传感器噪声的鲁棒结构。

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