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基于指令滤波的异步电动机随机有限时间模糊自适应控制

马盼盼1,2,于金鹏1,2,刘加朋1,2,赵林1,2,于海生1,2   

  1. 1. 青岛大学自动化学院,青岛  266071;2. 山东省工业控制重点实验室,青岛   266071
  • 出版日期:2021-11-25 发布日期:2021-12-25

马盼盼, 于金鹏, 刘加朋, 赵林, 于海生. 基于指令滤波的异步电动机随机有限时间模糊自适应控制[J]. 系统科学与数学, 2021, 41(11): 2987-2999.

MA Panpan, YU Jinpeng, LIU Jiapeng, ZHAO Lin, YU Haisheng. Stochastic Finite-Time Fuzzy Adaptive Control for Induction Motor Based on Command Filter[J]. Journal of Systems Science and Mathematical Sciences, 2021, 41(11): 2987-2999.

Stochastic Finite-Time Fuzzy Adaptive Control for Induction Motor Based on Command Filter

MA Panpan1,2 ,YU Jinpeng1,2 ,LIU Jiapeng1,2 ,ZHAO Lin1,2 ,YU Haisheng1,2   

  1. 1. School of Automation, Qingdao University, Qingdao 266071; 2. Shandong Key Laboratory of Industrial Control, Qingdao 266071
  • Online:2021-11-25 Published:2021-12-25
针对考虑随机扰动的异步电动机位置跟踪控制问题, 文章提出了一种基于指令滤波技术的有限时间模糊自适应控制方法. 首先, 利用模糊自适应技术逼近系统中的随机非线性函数; 其次, 采用指令滤波技术解决传统反步法中由于对虚拟控制函数反复求导产生的计算复杂性问题; 最后, 将有限时间控制方法与指令滤波技术相结合, 提高了系统的收敛速度以及抗干扰能力. 通过仿真实验, 验证了文章提出的控制方法能够使系统快速跟踪期望信号, 同时克服随机扰动的影响.
In this paper, a finite-time fuzzy adaptive control method based on command filtering technology is proposed for induction motor position tracking control considering stochastic disturbance. Firstly, fuzzy adaptive technique is used to approximate the stochastic nonlinear function in the system. Secondly, the command filtering technique is used to solve the computational complexity problem caused by the repeated derivation of the virtual control function in the traditional backstepping method. Finally, the finite-time control method is combined with the command filtering technology to improve the convergence speed and anti-interference ability of the system. The simulation results show that the proposed method can make the system track the desired signal quickly and overcome the influence of stochastic disturbance.
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