电动汽车用PMSM模糊模型预测控制的研究
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摘要
针对电动汽车用永磁同步电机要求高精度,快速响应及稳态性能好等要求,采用了模糊模型预测直接转矩控制的策略。将模糊逻辑控制技术引入模型预测控制中,动态地确定代价函数中权重系数的适当值。与传统的模型预测控制不同,在不同牵引操作环境下,该方法会自动调整代价函数中的权重系数,从而选择最佳开关状态。采用模糊自抗扰设计了速度控制器,实时补偿系统的扰动。仿真和实验结果表明,改进后的控制系统具有磁链转矩脉动小,抗干扰能力强,速度跟踪快,无超调等优点。
To meet the requirements of high precision,fast response and good steady state performance for permanent magnet synchronous motors for electric vehicles,a fuzzy model predictive direct torque control strategy was presented. The fuzzy logic control was introduced into the model predictive control to determine the appropriate value of the weight coefficient in the cost function dynamically.Different from the traditional model predictive control,this method will automatically adjust the weight coefficient in the cost function to select the best switching state in different traction operation environments. The speed controller was designed with fuzzy self-disturbance resistance to compensate the disturbance of the system in real time. The simulation and experiment results show that the improved control system has the advantages of small magnetic chain torque pulsation,strong anti-interference ability,fast speed tracking,and no overtone.
To meet the requirements of high precision,fast response and good steady state performance for permanent magnet synchronous motors for electric vehicles,a fuzzy model predictive direct torque control strategy was presented. The fuzzy logic control was introduced into the model predictive control to determine the appropriate value of the weight coefficient in the cost function dynamically.Different from the traditional model predictive control,this method will automatically adjust the weight coefficient in the cost function to select the best switching state in different traction operation environments. The speed controller was designed with fuzzy self-disturbance resistance to compensate the disturbance of the system in real time. The simulation and experiment results show that the improved control system has the advantages of small magnetic chain torque pulsation,strong anti-interference ability,fast speed tracking,and no overtone.
引文
[1]张华强,王新生,魏鹏飞,等.基于空间矢量调制的直接转矩控制算法研究[J].电机与控制学报,2012,16(6):13-18.
[2]GUESMI O,ALI D.Comparison between PI and fuzzy controllers in speed control of PMSM[C]//2017 International Conference on Green Energy Conversion Systems(GECS),Hammamet,Tunisia,2017.
[3]佘致廷,秦亚胜,杨婷.基于模型参考自适应的单神经元PID控制器设计[J].电力电子技术,2016,50(5):89-92.
[4]JUSTO J J,MWASILU F,KIM E K,et al.Fuzzy model predictive direct torque control of IPMSMs for electric vehicle applications[J]. IEEE/ASME Transactions on Mechatronics,2017,22(4):1542-1553.
[5]刘云飞,李兵,姚明林.改进型永磁同步电机模型预测控制方法[J].微特电机,2017,45(8):65-67.
[6]涂文聪,骆光照,刘卫国.基于模糊动态代价函数的永磁同步电机有限控制集模型预测电流控制[J].电工技术学报,2017,32(16):89-97.
[7]韩京清.自抗扰控制技术[M].北京:国防工业出版社,2008.
[8]SHINOHARA A,INOUE Y,MORIMOTO S,et al.Maximum torque per ampere control in stator flux linkage synchronous frame for DTC-based PMSM drives without using q-axis inductance[C]//Enerdy Conversion Congress&Exposition.IEEE,2017.
[9]黄庆,黄守道,伍倩倩,等.基于模糊自抗扰控制器的永磁同步电动机伺服系统[J].电工技术学报,2013,28(9):294-301.
[10]刘星桥,唐琳,朱丽婷.模糊自抗扰控制的三电机同步协调系统[J].电机与控制学报,2013,17(4):104-109.
[2]GUESMI O,ALI D.Comparison between PI and fuzzy controllers in speed control of PMSM[C]//2017 International Conference on Green Energy Conversion Systems(GECS),Hammamet,Tunisia,2017.
[3]佘致廷,秦亚胜,杨婷.基于模型参考自适应的单神经元PID控制器设计[J].电力电子技术,2016,50(5):89-92.
[4]JUSTO J J,MWASILU F,KIM E K,et al.Fuzzy model predictive direct torque control of IPMSMs for electric vehicle applications[J]. IEEE/ASME Transactions on Mechatronics,2017,22(4):1542-1553.
[5]刘云飞,李兵,姚明林.改进型永磁同步电机模型预测控制方法[J].微特电机,2017,45(8):65-67.
[6]涂文聪,骆光照,刘卫国.基于模糊动态代价函数的永磁同步电机有限控制集模型预测电流控制[J].电工技术学报,2017,32(16):89-97.
[7]韩京清.自抗扰控制技术[M].北京:国防工业出版社,2008.
[8]SHINOHARA A,INOUE Y,MORIMOTO S,et al.Maximum torque per ampere control in stator flux linkage synchronous frame for DTC-based PMSM drives without using q-axis inductance[C]//Enerdy Conversion Congress&Exposition.IEEE,2017.
[9]黄庆,黄守道,伍倩倩,等.基于模糊自抗扰控制器的永磁同步电动机伺服系统[J].电工技术学报,2013,28(9):294-301.
[10]刘星桥,唐琳,朱丽婷.模糊自抗扰控制的三电机同步协调系统[J].电机与控制学报,2013,17(4):104-109.