Modelling and Simulation in Engineering
IEEE Transactions on Fuzzy Systems
A recurrent self-organizing neural fuzzy inference network
IEEE Transactions on Neural Networks
Adaptive neuro fuzzy controller for adaptive compliant robotic gripper
Expert Systems with Applications: An International Journal
Adaptive neuro fuzzy estimation of underactuated robotic gripper contact forces
Expert Systems with Applications: An International Journal
Intelligent rotational direction control of passive robotic joint with embedded sensors
Expert Systems with Applications: An International Journal
Hi-index | 0.00 |
This paper develops a GA ANFIS controller design method for temperature control in plastic extrusion system. Temperature control of plastic extrusion system suffers problems related to longer settling time, couple effects, large time constants, and undesirable overshoot. The system is generally nonlinear and the temperature of the plastic extrusion system may vary over a wide range of disturbances. The system is designed with three controllers. The proposed GA ANFIS controller is the most powerful approach to retrieve the adaptiveness in the case of nonlinear system. In this research the control methods are simulated using simulink. Relatively the methodology and efficiency of the proposed method are compared with those of the traditional methods and the results obtained from GA ANFIS controller give improved performance in terms of time domain specification, set point tracking, and disturbance rejection with optimum stability.