PID type fuzzy controller and parameters adaptive method
Fuzzy Sets and Systems
Robust stability analysis of fuzzy control systems
Fuzzy Sets and Systems
A PI-type controller with self-tuning scaling factors
Fuzzy Sets and Systems
A PID type fuzzy controller with self-tuning scaling factors
Fuzzy Sets and Systems
A robust self-tuning scheme for PI- and PD-type fuzzy controllers
IEEE Transactions on Fuzzy Systems
Sliding mode neural network inference fuzzy logic control for active suspension systems
IEEE Transactions on Fuzzy Systems
A switching fuzzy control method for the magnetic active suspension system
FUZZ-IEEE'09 Proceedings of the 18th international conference on Fuzzy Systems
Expert Systems with Applications: An International Journal
An error-based on-line rule weight adjustment method for fuzzy PID controllers
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Discretization and fitting of nominal data for autonomous robots
Expert Systems with Applications: An International Journal
Online tuning of fuzzy PID controllers via rule weighing based on normalized acceleration
Engineering Applications of Artificial Intelligence
ICIRA'12 Proceedings of the 5th international conference on Intelligent Robotics and Applications - Volume Part I
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology
Hi-index | 12.06 |
This paper presents a design for a fuzzy gain tuning mechanism dealing with the problem of unbalanced vibration problem in an active magnetic bearing (AMB) system. For the purpose of enhancing the performance of the AMB system, we replace the conventional proportional-integral-derivative (PID) controller with a self-tuning fuzzy PID-type controller (FPIDC). The shaft displacement and the unbalanced forces of the rotor are evaluated by model-based observation. If there are model uncertainties in the rotor system or nonlinearities in the magnetic bearing system, this observer may not work well at any operating speed. A fuzzy gain tuner is added to adjust the actuating signal of the self-tuning FPIDC in order to overcome the disturbances and suppress the unbalancing vibration. The experimental results show that the proposed scheme allows for a remarkable improvement in reducing vibration in an unbalanced AMB system as well as demonstrate an efficient reduction in the shaft displacement of the rotor.