文章摘要
金爱娟,高文强,李少龙,卢泰宇,武韬.基于新型伸缩因子的PMSM模糊自适应反步控制[J].包装工程,2022,43(23):277-288.
JIN Ai-juan,GAO Wen-qiang,LI Shao-long,LU Tai-yu,WU Tao.Fuzzy Adaptive Backstepping Control of PMSM Based on Novel Extension Factor[J].Packaging Engineering,2022,43(23):277-288.
基于新型伸缩因子的PMSM模糊自适应反步控制
Fuzzy Adaptive Backstepping Control of PMSM Based on Novel Extension Factor
  
DOI:10.19554/j.cnki.1001-3563.2022.23.033
中文关键词: 永磁同步电机  自适应反步控制  积分重置  伸缩因子  模糊推理
英文关键词: permanent magnet synchronous motor  adaptive backstepping control  integral reset  extension factor  fuzzy reasoning
基金项目:国家自然科学基金(11502145)
作者单位
金爱娟 上海理工大学上海 200093 
高文强 上海理工大学上海 200093 
李少龙 上海理工大学上海 200093 
卢泰宇 上海理工大学上海 200093 
武韬 上海理工大学上海 200093 
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中文摘要:
      目的 为了解决包装机驱动控制系统在非线性因素的影响下,工作效率和产品质量大大降低的问题,提出一种基于新型伸缩因子的模糊自适应反步控制策略。方法 在传统自适应反步控制算法的基础上加入转速误差积分值对电流进行补偿,引入积分重置环节防止积分饱和引起调速时的超调和振荡,设计一种新的变论域伸缩因子,优化模糊推理模块,以在线整定转速反馈增益和自适应增益。结果 通过MATLAB/SIMULINK仿真结果表明,改进后的控制器通过对交轴电流值进行补偿,使参数摄动对系统的影响大大降低,并根据转速误差及其变化率自适应调整增益,进一步提高了控制系统的转速动态响应性能。结论 与常规传统PID控制系统和未优化的反步控制系统相比,文中优化后的控制器能增强被控系统的稳定性,缩短速度响应时间,具有更优的鲁棒性和动静态性能。
英文摘要:
      The work aims to propose a fuzzy adaptive backstepping control strategy based on a new expansion factor to solve the problem that the work efficiency and product quality of the drive control system of packaging machine are greatly reduced under the effects of nonlinear factors. Firstly, based on the traditional adaptive backstepping control algorithm, the integral value of speed error was added to compensate the current, and then the integral reset link was introduced to prevent the over-harmonic oscillation caused by integral saturation. In addition, a new variable universe expansion factor was designed to optimize the fuzzy reasoning module to adjust the speed feedback gain and adaptive gain online. MATLAB/SIMULINK simulation results showed that the improved controller greatly reduced the effects of parameter perturbation on the system by compensating the current value of the quadrature axis, and adaptively adjusted the gain according to the speed error and its change rate, which further improved the speed dynamic response performance of the control system. Compared with the conventional PID control system and the unoptimized backstepping control system, the optimized controller can improve the system stability and reduce the speed response time, and has better robustness and dynamic and static performance.
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