摘要
权重系数是模型预测控制中至关重要的控制参数,直接影响着被控系统的运行性能。为了保证间接矩阵变换器驱动异步电机调速系统可以在不同工况下具有良好的运行特性,该文提出一种权重系数自整定方法。该方法基于模糊理论,将模型预测控制方法中的各个性能指标作为模糊输入变量,权重系数作为模糊输出变量,利用模糊控制算法实时调节权重系数,以适应负载工况和运行状态的变化。仿真和实验结果表明,在系统运行过程中权重系数实现了适应不同工况的自整定。采用基于自整定参数的模型预测控制方法,保证了良好的网侧电能质量和异步电机优越的动静态调速性能。与传统恒定权重系数的模型预测方法相比,网侧电流中谐波畸变率显著降低。
Weighting factor is the most important control parameter in model predictive control,which affects the performance of the system directly.In order to ensure that the system operation can have good performance under different conditions,a weighting factor self-tuning method is proposed for the indirect matrix converter with induction motor system.In this method,the control objectives of model predictive control are used as fuzzy inputs,and the weighting factors are used as output variables.And the weighting factors are adjusted in real time according to working conditions using the fuzzy algorithm.Simulation and experimental results show that the self-tuning of the weighting factors can be realized to adapt different operating conditions.The proposed weighting factor self-tuning method has good grid power quality and excellent dynamic/static drive performance of the induction motor.Furthermore,compared with the conventional predictive control method with fixed weighting factors,the total harmonic distortion of the grid current has been reduced significantly.
作者
梅杨
易高
Mei Yang;Yi Gao(Inverter Technology Engineering Research Center of Beijing North China University of Technology University,Beijing 100144 China)
出处
《电工技术学报》
EI
CSCD
北大核心
2020年第18期3938-3948,共11页
Transactions of China Electrotechnical Society
基金
北京市自然科学基金(3192012)
国家自然科学基金(51477003)资助项目。
关键词
权重系数
模型预测
间接矩阵变换器
模糊理论
自整定
Weighting factors
model predictive control
indirect matrix converter
fuzzy theory self-tuning
