Speed and Rotator Magnetic Flux Close Loop Vector Control System for the Linear Induction Motor Based on Neuron Adaptive Controller

Aiming at the impact from non-linear, high-level and random interference and other factors, it is not desirable for the vector control system realized by the conventional PI controller, thus it is invented that the Speed and Rotator Magnetic Flux Close Loop, Electromagnetic Thrust Inner Loop Linear Induction Motor Vector Control System Based on Neuron adaptive Controller, in which the Neuron adaptive Controller is adopted as speed and magnetic flux regulator. The neuron net features self-learning and adaptation ability. When it is applied for controlling, it does not depends on mathematic model of control object, and can overcome the defect of less robustness of the conventional PI controller while changing of motors' parameter. Finally, to verify the feasibility of design theory, the simulation experiment has been made for the Speed and Rotator Magnetic Flux Close Loop Electromagnetic Thrust Inner Loop Linear Induction Motor Vector Control System Based on Neuron adaptive Controller. The results of simulation experiment has shown that this system has not only good dynamic and stable performance, but also better robustness.