沈阳工业大学 电气工程学院,辽宁 沈阳 110870
通信作者:赵希梅
李德豪(1999—),男,硕士研究生,研究方向为直线电机及其控制;
金鸿雁(1993—),女,博士,讲师,研究方向为电机控制、智能控制等。
收稿:2023-08-28,
纸质出版:2024-12
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赵希梅, 李德豪, 金鸿雁. 基于负载力观测器的永磁直线同步电机自适应全阶动态滑模控制[J]. 电机与控制学报, 2024,28(12):53-61.
ZHAO Ximei, LI Dehao, JIN Hongyan. Adaptive full order dynamic sliding mode control of permanent magnet linear synchronous motor based on load force observer[J]. Electric Machines and Control, 2024, 28(12): 53-61.
赵希梅, 李德豪, 金鸿雁. 基于负载力观测器的永磁直线同步电机自适应全阶动态滑模控制[J]. 电机与控制学报, 2024,28(12):53-61. DOI: 10.15938/j.emc.2024.12.006.
ZHAO Ximei, LI Dehao, JIN Hongyan. Adaptive full order dynamic sliding mode control of permanent magnet linear synchronous motor based on load force observer[J]. Electric Machines and Control, 2024, 28(12): 53-61. DOI: 10.15938/j.emc.2024.12.006.
针对永磁同步直线电机(PMLSM)在运行时易受参数变化、负载扰动、摩擦阻力、定位力等不确定性影响,导致位置跟踪精度不高、鲁棒性不强的问题,提出一种基于负载力观测器的自适应全阶动态滑模控制(AFODSMC-LFO)方法。首先,根据系统全阶误差状态方程设计全阶滑模面,全阶滑模控制(FOSMC)能够实现快速收敛,并且在稳态时可实现系统多变量连续控制;其次,为有效削弱抖振,引入了动态滑模控制(DSMC),DSMC可视为FOSMC的补偿控制器,通过低通滤波环节有效滤除控制律中的高频开关信号和测量噪声;此外,针对系统内部不确定性上界和外部负载扰动,分别通过以动子实际位置为自变量的自适应律和负载力观测器进行精确估计,进一步提高了系统的鲁棒性;最后,通过实验证明该方法能够保证PMLSM位置跟踪过程中的高跟踪精度和强鲁棒性。
Permanent magnet linear synchronous motor (PMLSM) is susceptible to uncertainties such as parameter variation
load disturbance
friction resistance and positioning force during operation
which lead to low position tracking accuracy and robustness. An adaptive full order dynamic sliding mode control based on load force observer (AFODSMC-LFO) method was proposed. Firstly
the full order sliding mode surface was designed according to the full order error state equation of the system. The full order sliding mode control (FOSMC) can achieve fast convergence
and the multivariable continuous control of the system can be realized in the steady state;secondly
in order to effectively weaken the chattering
the dynamic sliding mode control (DSMC) was introduced. DSMC could be regarded as the compensation controller of FOSMC
and the high frequency switching signal and measurement noise in the control law were effectively filtered through the low pass filtering link;in addition
the upper bound and its first derivative of the internal uncertainty and the external load disturbance were accurately estimated by the adaptive law and the load force observer respectively
which takes the actual position of the actuator as the independent variable to further improve the robustness of the system;finally
the experimental results show that the proposed method can achieve high tracking accuracy and strong robustness in the process of PMLSM position tracking.
赵希梅,孙洪潇,金鸿雁.永磁直线伺服系统终端互补滑模位置控制[J].电机与控制学报,2023,27(6):182.
ZHAO Ximei, SUN Hongxiao, JIN Hongyan. Terminal complementary sliding mode position control for permanent magnet linear servo system[J]. Electric Machines and Control, 2023, 27 (6):182.
雷城,蓝益鹏,孙云鹏.直线同步电动机磁悬浮系统的模糊分数阶滑模控制[J].电机与控制学报,2022,26(3):94.
LEI Cheng, LAN Yipeng, SUN Yunpeng. Fuzzy fractional sliding mode control of magnetic levitation system of linear synchronous motors[J]. Electric Machines and Control, 2022, 26(3): 94.
武志涛,李帅,程万胜.基于扩展滑模扰动观测器的永磁直线同步电机定结构滑模位置跟踪控制[J].电工技术学报,2022, 37(10):2503.
WU Zhitao, LI Shuai, CHENG Wansheng. Fixed structure sliding mode position tracking control for permanent magnet linear synchronous motor based on extended sliding mode disturbance observer[J]. Transactions of China Electrotechnical Society, 2022, 37(10): 2503.
HUANG Xuzhen, LI Jing, ZHANG Chengming, et al. Electromagnetic and thrust characteristics of double-sided permanent magnet linear synchronous motor adopting staggering primaries structure[J]. IEEE Transactions on Industrial Electronics, 2019, 66 (6): 4826.
YANG Rui, WANG Mingyi, LI Liyi, et al. Robust predictive current control of PMLSM with extended state modeling based Kalman filter: for time varying disturbance rejection[J]. IEEE Transactions on Power Electronics, 2020, 35(2): 2208.
YUAN Hao, ZHAO Ximei. Advanced contouring compensation approach via Newton-ILC and adaptive jerk control for biaxial motion system[J]. IEEE Transactions on Industrial Electronics, 2022, 69(5): 5081.
EL-SOUSY F, ABUHASEL K A. Adaptive nonlinear disturbance observer using a double-loop self-organizing recurrent wavelet neural network for a two-axis motion control system[J]. IEEE Transactions on Industry Applications, 2018, 54(1): 764.
CHEN Syuanyi, CHIANG Hsinhan, LIU Tungsheng, et al. Precision motion control of permanent magnet linear synchronous motors using adaptive fuzzy fractional order sliding mode control[J]. IEEE/ASME Transactions on Mechatronics, 2019, 24(2): 741.
FAYEZ F M, EL-SOUSY F. Intelligent mixed H 2 / H ∞ adaptive tracking control system design using self-organizing recurrent fuzzy wavelet neural network for uncertain two axis motion control system[J ] . Applied Soft Computing, 2016(41): 22-50.
SALEH M. Fast terminal sliding mode controller design for nonlinear second order systems with time varying uncertainties[J]. Complexity, 2015, 21(2): 239.
DEVIKA K B, THOMAS S. Sliding mode controller design for MIMO nonlinear systems: a novel power rate reaching law approach for improved performance[J]. Journal of the Franklin Institute, 2018, 355(12): 5082.
MAKRINI I E, RODRIGUEZ G C, LEFEBER D, et al. The variable boundary layer sliding mode control: a safe and performant control for compliant joint manipulators[J]. IEEE Robotics& Automation Letters, 2017, 2(1): 187.
SANJOY M, JAWHAR G, MAAROUF S. Homogeneous finite time consensus control for higher order multi agent systems by full order sliding mode[J]. Journal of Systems Science and Complexity,2018, 31(5): 1186.
XIANG Xianbo,LIU Chao,SU Housheng,et al. On decentralized adaptive full-order sliding mode control of multiple UAVs[J]. ISA Transactions,2017,71(2):196.
JORGE D, ALEXANDER P. Dynamic sliding mode control design using attracting ellipsoid method[J]. Automatica,2011,47 (7): 1467.
WANG Zhi, BAO Weimin, LI Huifeng. Second order dynamic sliding mode control for nonminimum phase under actuated hypersonic vehicles[J]. IEEE Transactions on Industrial Electronics, 2017, 64(4): 3105.
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