交流电机调速系统的神经网络逆在线控制
On-line Control of Induction Motor’s Speed Regulation System Based On Neural Networks Inversion
交流电机是非线性、多变量、强耦合的控制系统。基于神经网络逆系统离线训练的基础上提出了在线调整的策略，实现了感应电机转速的高精度控制。仿真和初步实验结果表明系统具有优良的静态及动态性能，且对电机参数的变化与负载扰动具有较强的鲁棒性。
Induction motor is a multivariable, nonlinear and strongly coupled system. A strategy of controlling on-line based on NN inverse system is proposed, by which the rotator speed can be controlled accurately. Simulation and primary experiment results show that the good static and dynamic performance and the strong robustness to both variation of parameters and load torque disturbance can be achieved by using the proposed method.
胡子键、刘国海
电机自动化技术、自动化技术设备
神经网络逆系统感应电机在线控制
Neural networksInverse systemInduction motoron-line control
胡子键,刘国海.交流电机调速系统的神经网络逆在线控制[EB/OL].(2009-01-13)[2025-08-18].http://www.paper.edu.cn/releasepaper/content/200901-553.点此复制
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