感应电机变结构PID速度控制及转子电阻辨识

doi:10.16182/j.issn1004731x.joss.201712026

系统仿真学报 ›› 2017, Vol. 29 ›› Issue (12): 3132-3138.doi: 10.16182/j.issn1004731x.joss.201712026

感应电机变结构PID速度控制及转子电阻辨识

吕小意, 王艳, 纪志成, 严大虎

江南大学物联网技术应用教育部工程研究中心,无锡 214122

收稿日期:2017-02-17 发布日期:2020-06-06
作者简介:吕小意(1991-),男,湖北广水,硕士,研究方向为感应电机控制及参数辨识。
基金资助:
国家自然科学基金(61572238),江苏省杰出青年基金(BK20160001),江苏省产学研联合创新资金-前瞻性联合研究项目(BY2016022-24)

Variable Structure PID Speed Control and Rotor Resistance Identification of Induction Motor

Lü Xiaoyi, Wang Yan, Ji Zhicheng, Yan Dahu

Engineering Research Center of Internet of Things Technology Applications Ministry of Education, Jiangnan University, Wuxi 214122, China

Received:2017-02-17 Published:2020-06-06

摘要/Abstract

摘要： 为了提高感应电机矢量控制系统的性能,提出了一种变结构PID速度控制与基于模型参考自适应(MRAS)转子电阻在线辨识相结合的控制方法。在基于瞬时无功功率的模型参考自适应系统中,通过自适应调节来辨识转子电阻。由于传统PID速度调节器存在参数不能在线改变和积分饱和现象,因此在传统PID控制器基础上融合anti-windup技术和模糊理论,设计了变结构PID速度控制器。由MATLAB仿真实验可以看出,该控制器缓解了系统的积分饱和现象,减小了速度超调;同时表明了在变结构PID速度控制下基于MRAS转子电阻辨识的有效性。

关键词: 感应电机, 转子电阻, 变结构PID, anti-windup技术, 模糊理论

Abstract: With the aim of improving the performance of the vector controlled induction motor system, a novel control method which combines variable structure PID speed control with online identification of rotor resistance based on model reference adaptive system (MRAS) is proposed. The rotor resistance is identified by self-adaptive adjustment in the model reference adaptive system based on the instantaneous reactive power. Given that the parameters can not change on line and the integral saturation phenomenon often exists in traditional PID speed regulator, a variable structure PID speed controller is designed by integrating anti-windup technology with fuzzy theory based on traditional PID controller. It can be seen from the MATLAB simulation experiment that the proposed controller can reduce the integral windup phenomenon of the system and minish speed overshoot. The effectiveness of rotor resistance identification based MRAS is proved in variable structure PID speed control.

Key words: induction motor, rotor resistance, variable structure PID, anti-windup technology, fuzzy theory

中图分类号:

TP391.9

吕小意, 王艳, 纪志成, 严大虎. 感应电机变结构PID速度控制及转子电阻辨识[J]. 系统仿真学报, 2017, 29(12): 3132-3138.

Lü Xiaoyi, Wang Yan, Ji Zhicheng, Yan Dahu. Variable Structure PID Speed Control and Rotor Resistance Identification of Induction Motor[J]. Journal of System Simulation, 2017, 29(12): 3132-3138.

参考文献

[1] 陈振锋, 钟彦儒, 李洁, 等. 转子电阻变化对电力牵引感应电机起动转矩的影响[J]. 电工技术学报, 2011, 26(6): 12-17.
Chen Zhenfeng, Zhong Yanru, Li Jie, et al.Influence of Rotor Resistance Variation on Starting Torque of Induction Motors in Electric Traction[J]. Transactions of China Electrotechnical Society, 2011, 26(6): 12-17.
[2] Shin Hwibeom, PARK Jonggyu.Anti-windup PID Controller with Integral State Predictor for Variable-speed Motor Drives[J]. Transactions on Industrial Electronics (S0278-0046), 2012, 59(3): 1509-1516.
[3] Li H, Wu C, Yin S, et al.Observer-Based Fuzzy Control for Nonlinear Networked Systems Under Unmeasurable Premise Variables[J]. IEEE Transactions on Fuzzy Systems (S1063-6706), 2016, 24(5): 1233-1245.
[4] Masiala M, Vafakhah B, Salmon J, et al.Fuzzy Self-Tuning Speed Control of an Indirect Field-Oriented Control Induction Motor Drive[J]. IEEE Transactions on Industry Applications (S0093-9994), 2008, 44(6): 1732-1740.
[5] Lee D, Vukovich G, Gui H.Adaptive Variable-structure Finite-time Mode Control for Spacecraft Proximity Operations with Actuator Saturation[J]. Advances in Space Research (S0273-1177), 2017, 59(10): 1-15.
[6] Al-Hadithi B M, Barragán A J, Andújar J M, et al. Chattering-free Fuzzy Variable Structure Control for Multivariable Nonlinear Systems[J]. Applied Soft Computing (S1568-4946), 2016, 39(C): 165-187.
[7] Tahoun A H.Anti-windup Adaptive PID Control Design for a Class of Uncertain Chaotic Systems with Input Saturation[J]. ISA Transactions (S0019-0578), 2016, 66(1): 176-184.
[8] 佘致廷, 肖岸文, 孙炜, 等. 基于MRAS理论的无速度传感器直接转矩控制调速系统[J]. 电工技术学报, 2006, 21(4): 98-101.
She Zhiting, Xiao Anwen, Sun Wei, et al.Speed- Adjustable System of Sensorless Direct Torque Control for Induction Motor Based on the MRAS Scheme[J]. Transactions of China Electro-technical Society, 2006, 21(4): 98-101.
[9] 赵海森, 杜中兰, 刘晓芳, 等. 基于递推最小二乘法与模型参考自适应法的鼠笼式异步电机转子电阻在线辨识方法[J]. 中国电机工程学报, 2014, 34(30): 5386-5394.
Zhao Haisen, Du Zhonglan, Liu Xiaofang, et al.An On-line Identification Method for Rotor Resistance of Squirrel Cage Induction Motors Based on Recursive Least Square Method and Model Reference Adaptive System[J]. Proceedings of the CSEE, 2014, 34(30): 5386-5394.
[10] Maiti S, Chakraborty C, Hori Y, et al.Model Reference Adaptive Controller-Based Rotor Resistance and Speed Estimation Techniques for Vector Controlled Induction Motor Drive Utilizing Reactive Power[J]. IEEE Transactions on Industrial Electronics (S0278-0046), 2008, 55(2): 594-601.
[11] Sarhadi P, Noei A R, Khosravi A.Model Reference Adaptive PID Control with Anti-windup Compensator for an Autonomous Underwater Vehicle[J]. Robotics & Autonomous Systems (S0921-8890), 2016, 83(C): 87-93.
[12] Mu B, Li Y, House J M, et al.Experimental Evaluation of Anti-windup Extremum Seeking Control for Airside Economizers[J]. Control Engineering Practice (S0967-0661), 2016, 50(5): 37-47.
[13] Cao K, Gao X, Lam H K, et al.H ∞, Fuzzy PID Control Synthesis for Takagi-Sugeno Fuzzy Systems[J]. IET Control Theory & Applications (S1751-8644), 2016, 10(6): 607-616.
[14] Kosari A, Jahanshahi H, Razavi S A.An Optimal Fuzzy PID Control Approach for Docking Maneuver of Two Spacecraft: Orientational Motion[J]. Engineering Science and Technology An International Journal (S2215-0986), 2016, 20(1): 293-309.
[15] Arya Y, Kumar N.BFOA-scaled Fractional Order Fuzzy PID Controller Applied to AGC of Multi-area Multi-source Electric Power Generating Systems[J]. Swarm and Evolutionary Computation (S2210-6502), 2017, 32(2): 202-218.

感应电机变结构PID速度控制及转子电阻辨识

Variable Structure PID Speed Control and Rotor Resistance Identification of Induction Motor

PDF (PC)

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 9

编辑推荐

Metrics

本文评价

[1]	张云景, 王鑫鑫, 王洋, 汤光明. 一种基于证据理论的战时备件需求预测方法[J]. 系统仿真学报, 2020, 32(2): 314-322.
[2]	韩凯伟, 王艳, 纪志成. 一种直线感应电机的新型积分滑模控制器的设计与仿真[J]. 系统仿真学报, 2020, 32(11): 2146-2154.
[3]	黄松, 田娜, 王艳, 纪志成. 基于比例策略的多目标PSO的感应电机参数辨识[J]. 系统仿真学报, 2016, 28(7): 1489-1496.
[4]	徐晓杨, 王艳, 纪志成. 基于禁忌混沌萤火虫算法的感应电机参数辨识[J]. 系统仿真学报, 2016, 28(6): 1296-1305.
[5]	刘希军, 张昆仑, 刘国清. 面向舰载机电磁弹射器的双边直线感应电机研究[J]. 系统仿真学报, 2016, 28(4): 951-955.
[6]	吕小意, 黄松, 王艳, 纪志成. 基于苍狼算法的感应电机改进模型参数辨识[J]. 系统仿真学报, 2016, 28(12): 3010-3018.
[7]	蒋景旺, 吴云洁, 吴梦晨. 神经网络模糊PID控制在高低温环境模拟系统的应用[J]. 系统仿真学报, 2015, 27(8): 1922-1926.
[8]	刘希军, 张昆仑, 陈殷. 单边直线感应电机最优滑差频率控制研究[J]. 系统仿真学报, 2015, 27(4): 859-865.
[9]	曹建军, 马海洲, 蒋德珑. 武器装备体系评估建模研究[J]. 系统仿真学报, 2015, 27(1): 37-42.