基于参数辨识及L2增益的PMSG反步控制策略研究

doi:10.16182/j.issn1004731x.joss.201701020

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (1): 144-153.doi: 10.16182/j.issn1004731x.joss.201701020

基于参数辨识及L₂增益的PMSG反步控制策略研究

米增强, 郭旭东, 余洋

华北电力大学电力系,新能源电力系统国家重点实验室,河北保定 071003

收稿日期:2015-11-19 修回日期:2016-03-04 出版日期:2017-01-08 发布日期:2020-06-01
作者简介:米增强(1960-),男,河北石家庄,硕士,博导,研究方向为新能源电力系统与智能电网和机械弹性储能机组技术等。
基金资助:
国家自然科学基金(51407077),国家电网公司总部科技项目(5204BB16000F),高等学校博士学科点专项科研基金(优先发展领域)(20120036130001),中央高校基本科研业务费(2014MS93)

Parameter Identification and L₂ Gain Based Backstepping Control Strategy for PMSG

Mi Zengqiang, Guo Xudong, Yu Yang

State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources,Electricity Department of North China Electric Power University, Baoding 071003, China

Received:2015-11-19 Revised:2016-03-04 Online:2017-01-08 Published:2020-06-01

摘要/Abstract

摘要： 针对永磁电机式机械弹性储能机组动力源扭矩和转动惯量同时变化特性,提出了一种基于辨识算法及L₂增益的反步控制策略。通过带遗忘因子的最小二乘算法同时辨识实时变化的转动惯量和输入转矩,根据辨识结果,考虑辨识误差以及发电机参数变化带来的不确定特点,结合反步控制和L₂增益干扰抑制方法设计非线性反步控制器,保证永磁同步发电机的转速和输出电流能够以给定参考值运行。仿真结果表明：该控制策略能够较好地实现永磁同步发电机输出值对目标值的快速跟踪,且具有一定的抗干扰能力。

关键词: 机械弹性储能机组, 带遗忘因子最小二乘辨识算法, 反步控制, L₂增益, 永磁同步发电机

Abstract: In allusion to the simultaneous time-varying characteristics of power source torque and moment of inertia in permanent magnet synchronous motor based mechanical elastic energy storage system, a parameter identification and L₂ gain based backstepping control strategy was proposed. Firstly, Time-varyring moment of inertia and input torque were simultaneously identified through the least squares algorithm with forgetting factor. Then, on the basis of identification results and combining backstepping control and L₂ gain disturbance suppression method, a nonlinear backstepping controller was designed against identification errors and parameters perturbation to ensure the rotating speed and output currents of PMSG to track the given references. The simulation results show that the outputs of PMSG can track the target values rapidly and the proposed strategy has a certain anti-interference ability.

Key words: mechanical elastic energy storage system (MEES), least squares algorithm with forgetting factor, backstepping control, L_{2_gain,} PMSG

中图分类号:

TP273

米增强, 郭旭东, 余洋. 基于参数辨识及L₂增益的PMSG反步控制策略研究[J]. 系统仿真学报, 2017, 29(1): 144-153.

Mi Zengqiang, Guo Xudong, Yu Yang. Parameter Identification and L₂ Gain Based Backstepping Control Strategy for PMSG[J]. Journal of System Simulation, 2017, 29(1): 144-153.

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基于参数辨识及L₂增益的PMSG反步控制策略研究

Parameter Identification and L₂ Gain Based Backstepping Control Strategy for PMSG

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