Network, Hybrid Artificial Intelligent Controller, High
algorithms. To solve these problems, direct fuzzy
control is developed, but it can not be obtained the
response characteristic of robust and satisfaction
performances about various load change and inertia
change. [5]
Neural network is evaluated very influential
technique in parameter estimation and control of
drive.[6]-[7] Neural network is excellent in more ability
of adaptive control than generally vector control method.
But it is have a problem in high performance and robust
control that is indicated the characteristic of fuzzy
control.
In this paper is proposed hybrid artificial intelligent
controller that is mixed fuzzy control and neural
network for high performance of induction motor.
Hybrid artificial intelligent controller is consisted the
first part of fuzzy rule and the second part of clustering
method, multilayer neural network. Hybrid artificial
intelligent controller can be obtained high performance,
robust control in advantage of fuzzy control, and high
adaptive control ability in advantage of neural network.
To improve more performance, hybrid artificial
intelligent controller is applied adaptive mechanism
method that based on reference model.[8] Final output
is obtained add output of hybrid artificial intelligent
controller and output of adaptive fuzzy control. In this
paper, this controller applied drive system of induction
motor, and then analyzed the parameter variation,
response characteristic of steady-state and
transient-state. And the validity of proposed controller is
proof.