[1]LI Peng,WANG Shengyong,LU Jiabin,et al.The application of hybrid PI parameters tunning method to the closed-loop vector control system[J].CAAI Transactions on Intelligent Systems,2013,8(5):446-452.[doi:10.3969/j.issn.1673-4785.201209043]
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The application of hybrid PI parameters tunning method to the closed-loop vector control system

CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume: 8 Number of periods: 2013 5 Page number: 446-452 Column: 学术论文—智能系统 Public date: 2013-10-25
Title:
The application of hybrid PI parameters tunning method to the closed-loop vector control system
Author(s):
LI Peng1;  WANG Shengyong1;  LU Jiabin1;  HUANG Xinhan2
1. Research Department, WISDRI (Wuhan) Automation Co., Ltd, Wuhan 430205, China; 2. Department of Control Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, China
Keywords:
PI parameters;  PI parameters tuning;  vector control;  closedloop vector control;  fuzzy control
CLC:
TP29
DOI:
10.3969/j.issn.1673-4785.201209043
Abstract:
In order to make closed-loop vector control system work in the best status, a hybrid tuning method was introduced, which combines a model-based offline tuning method with a fuzzy PI online tuning method. First of all, the mathematical model of the system was constructed in accordance to the vector control theory, and the moment of inertia was calculated using the method of a constant-torque startup and freely stopping system. After that the PI parameters and the inner loop compensations were calculated according to the mathematical model. Next, a fuzzy PI controller was structured, and the new PI control rule forms were put forward. The final contrastive experiments indicate that the hybrid PI parameters tuning method improves the dynamic performance and the steady-state precision of the system, and it is better than the system which only adopts a single tuning method. The validity of the method was justified.
References:
［1］王伟，张晶涛，柴天佑．PID参数先进整定方法综述［J］．自动化学报, 2000, 26(3): 348-355.
        WANG Wei, ZHANG Jingtao, CHAI Tianyou. A survey of advanced PID parameter tuning methods［J］. Acta Automatica Sinica, 2000, 26(3): 348-355.
 ［2］何颖，鹿蕾，赵争鸣．PID参数自整定方法概述［J］．现代电子技术, 2004(24): 20-23.
         HE Ying, LU Lei, ZHAO Zhengming. A summarization of PID parameters auto-tuning methods［J］. Modern Electronic Technique, 2004(24): 20-23.
［3］贺徽，周建中，谭建华，等．基于Mamdani模糊PID的同步发电机励磁控制［J］．华中科技大学学报：自然科学版, 2010, 38(2): 34-37.
        HE Hui, ZHOU Jianzhong, TAN Jianhua, et al. Research and application of a fuzzy PID controller for excitation control systems in synchronous generators using Mamdani model［J］. Journal of Huazhong University of Science and Technology: Nature Science Edition, 2010, 38(2): 34-37.
［4］曹青松，周继惠，黎林，等．基于模糊自整定PID算法的压电柔性机械臂振动控制研究［J］．振动与冲击, 2010, 29(12): 181-186.
        CAO Qingsong, ZHOU Jihui, LI Lin, et al. Vibration control of piezoelectric flexible manipulator based on fuzzy self-tuning PID algorithm［J］. Journal of Vibration and Shock, 2010, 29(12): 181-186.
［5］刘国海，杨官学．基于神经网络广义逆的感应电机变频系统内模控制［J］．江苏大学学报：自然科学版, 2010, 31(1): 63-67.
        LIU Guohai, YANG Guanxue. Internal model control of induction motor variable frequency speed control system based on neural network generalized inverse［J］. Journal of Jiangsu University: Natural Science Edition, 2010, 31(1): 63-67.
［6］张文辉，马静，高九州．基于神经网络的空间柔性机械臂PID快速学习控制［J］．应用科技, 2011, 38(5): 1-4.
        ZHANG Wenhui, MA Jing, GAO Jiuzhou. Fast learning PID control over space flexible manipulators based on neural network［J］. Applied Science and Technology, 2011, 38(5): 1-4.
［7］李庆春，沈德耀．一种PID模糊控制器(fuzzy PI+fuzzy ID型)［J］．控制与决策, 2009, 24(7): 1038-1042.
         LI Qingchun, SHEN Deyao. Brand-new PID fuzzy controller (fuzzy PI+fuzzy ID) ［J］. Control and Decision, 2009, 24(7): 1038-1042.
［8］王秀君，胡协和．一种改进的单神经元PID控制策略［J］．浙江大学学报：工学版, 2011, 45(8): 1498-1501.
        WANG Xiujun, HU Xiehe. An improved control strategy of single neuron PID［J］. Journal of Zhejiang University: Engineering Science, 2011, 45(8): 1498-1501.
［9］MOHAN B M, SINHA A. The simplest fuzzy PID controllers: mathematical models and stability analysis［J］. Soft Computing, 2006, 10(10): 961-975.
［10］CHEN Y Q, MOORE K L. Relay feedback tuning of robust PID controllers with iso-damping property［J］. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, 2005, 35(1): 23-31.
［11］JENG J C, HUANG H P, LIN F Y. Modified relay feedback approach for controller tuning based on assessment of gain and phase margins［J］. Industrial and Engineering Chemistry Research, 2006, 45(12): 4043-4051.
［12］方斌．时滞系统PID控制器增益的稳定范围研究［J］．信息与控制, 2009, 38(5): 546-551.
         FANG Bin. On gain stabilizing regions of PID controller for time delay systems［J］. Information and Control, 2009, 38(5): 546-551.
［13］苏位峰．异步电机自抗扰矢量控制调速系统［D］．北京：清华大学, 2004.
          SU Weifeng. Active disturbances rejection control of field-oriented induction motor drive system［J］. Beijing: Tsinghua University, 2004.
［14］胡寿松．自动控制原理［M］．北京：科学出版社, 2007.
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