Speed sensorless fuzzy adaptive PI direct torque control of asynchronous motor
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摘要: 文章针对传统无速度传感器直接转矩控制转速不稳定、超调量大等问题做出两点改进。首先,引入自耦PI对传统MRAS无速度传感器直接转矩控制进行改进,该方法改善无传感器直接转矩控制调速性能、降低超调量、减小稳态误差;其次,针对直接转矩控制具有转矩脉动大、调速性能差等缺点,提出变论域静态模糊自适应PI控制策略,减小转矩脉动并改善调速性能,大大提升了抗负载能力;最后,在Matlab/Simulink仿真环境下进行了仿真并进行分析,证明了上述方法的有效性和可行性。结果表明,相对于传统的无速度传感器直接转矩控制系统,仿真结果显示减小了转速超调量,缩短了转速上升中到达高速工况的响应时间,提升了抗负载能力。Abstract: In order to solve the problem of speed instability and large overshoot of speed sensorless direct torque control. Firstly, auto-coupling PI is introduced to improve the speed regulation performance of sensorless direct torque control and reduce steady-state error. Secondly, the variable universe fuzzy adaptive PI control strategy is proposed to reduce the torque ripple and improve the speed regulation performance, aiming at the shortcomings of direct torque control such as large torque ripple and poor speed regulation performance. Finally, it is simulated under Matlab/Simulink and the validity and feasibility of the above are proved. The results show that the simulation results of direct torque control system show that the speed overshoot is reduced, the response time of speed rising to high speed is shortened, and the load resistance is improved.
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表 1 $ \Delta {K_{P\omega }} $模糊规则表
$ {e_{\omega t}} $ $ e{c_{\omega t}} $ NB NM NS ZO PS PM PB NB PB PM PM PS PS ZO ZO NM PB PB PM PS PS ZO NS NS PM PM PM PS ZO NS NS ZO PM PM PS ZO NS NM NM PS PS PS ZO NS NM NM NM PM PS ZO NS NS NM NM NB PB ZO ZO NM NM NB NB NB 表 2 $ \Delta {K_{I\omega }} $模糊规则表
$ {e_{\omega t}} $ $ e{c_{\omega t}} $ NB NM NS ZO PS PM PB NB NB NM NM NS NS ZO ZO NM NB NB NM NS NS ZO ZO NS NB NM NM NS ZO PS PS ZO NM NM NS ZO PS PM PM PS NM NS ZO PS PM PM PB PM ZO ZO PS PS PM PB PB PB ZO ZO PS PM PM PB PB -
[1] 杨蒙蒙,邓三星,赵志峥,等. 基于矢量控制车辆交流异步电机控制系统分析[J/OL]. 机械设计与制造:1-8. [2023-09-25]. https://doi.org/10.19356/j.cnki.1001-3997.20230905.023. [2] 吕德刚,刘站卓,徐翔. 带负载扰动补偿的永磁同步电机改进MRAS观测器控制[J]. 电机与控制学报,2023,27(6):46-54. [3] Daoudi S E ,Lazrak L ,Ouanjli N E ,et al. Sensorless fuzzy direct torque control of induction motor with sliding mode speed controller[J]. Computers & Electrical Engineering,2021,96:107490. [4] 张懿,徐斌,魏海峰,等. 新型模型参考自适应的PMSM无差拍电流预测控制[J]. 电机与控制学报,2023,27(9):157-167. [5] Ouanjli N E,Mahfoud S,Al-Sumaiti A S,et al. Improved twelve sectors DTC strategy of induction motor drive using Backstepping speed controller and P-MRAS stator resistance identification-design and validation[J]. Alexandria Engineering Journal,2023,80:358-371. doi: 10.1016/j.aej.2023.08.077 [6] 梅善瑜,陶为戈,侯虎. 永磁同步电机模糊控制和前馈补偿研究[J/OL]. 中国测试:1-6 [2023-09-25]. http://kns.cnki.net/kcms/detail/51.1714.TB.20230420.1445.006.html. [7] 周立,苏美霞,王杰. 永磁同步电机模糊多矢量模型预测控制[J]. 电气工程学报,2022,17(4):181-192. [8] 陈昱昊,郑宾. 基于模糊PI控制的永磁同步电机矢量控制性能研究[J]. 国外电子测量技术,2022,41(7):75-81. [9] 金爱娟,冯雅茹,李少龙. 基于改进樽海鞘群算法的PMSM变论域模糊控制[J]. 包装工程,2022,43(13):264-274. [10] 曾喆昭,刘文珏. 自耦PID控制器[J]. 自动化学报,2021,47(2):404-422. [11] 曾喆昭,陈泽宇. 论PID与自耦PID控制理论方法[J]. 控制理论与应用,2020,37(12):2654-2662. doi: 10.7641/CTA.2020.00167 [12] 黄利容,曾喆昭,章禛昊. 永磁同步电机调速系统的自耦PID控制策略研究[J]. 机械科学与技术:1-6. [2023-09-25]. https://doi.org/10.13433/j.cnki.1003-8728.20230246. [13] 杜涛,曾国辉,黄勃,等. 基于蝗虫优化算法变论域模糊PI的PMSM矢量控制[J]. 现代制造工程,2021(4):1-5,11. [14] 张新荣,康龙,唐家朋,等. 基于变论域模糊多参数自整定PID控制的智能挖掘机轨迹跟踪[J]. 中国公路学报,2023,36(2):240-250. doi: 10.3969/j.issn.1001-7372.2023.02.020 [15] 陈萌,谷立臣,杨彬,等. 变转速液压调速系统转速模糊控制实验研究[J]. 现代制造工程,2017(10):120,125-128. [16] 尚俊杰,曹太强,林轩,等. 一种新型车载充电DC-DC变换器的变论域模糊PI预测控制[J/OL]. 电源学报:1-14[2023-09-25]. http://kns.cnki.net/kcms/detail/12.1420.TM.20230619.1552.008.html. [17] 孙立新,刘明立,高春艳,等. 自适应伸缩因子的变论域模糊控制的AGV纠偏[J]. 现代制造工程,2022(10):21-26.