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Journal ArticleDOI

A self-tuning fuzzy PID-type controller design for unbalance compensation in an active magnetic bearing

TLDR
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.
Abstract
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.

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Citations
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Journal ArticleDOI

AMB Vibration Control for Structural Resonance of Double-Gimbal Control Moment Gyro With High-Speed Magnetically Suspended Rotor

TL;DR: In this paper, a robust μ-synthesis control scheme for structural resonance vibration suppression of high-speed rotor systems supported by active magnetic bearings (AMBs) in the magnetically suspended double-gimbal control moment gyro (MSDGCMG) was presented.
Journal ArticleDOI

Online tuning of fuzzy PID controllers via rule weighing based on normalized acceleration

TL;DR: An on-line tuning method is proposed for fuzzy PID controllers via rule weighing that is demonstrated on linear and non-linear systems by simulations and a real time application of this new method is accomplished on a pH neutralization process.
Journal ArticleDOI

Force control for press machines using an online smart tuning fuzzy PID based on a robust extended Kalman filter

TL;DR: An online smart tuning fuzzy PID (OSTFPID) approach based on a robust extended Kalman filter (REKF) for the development of high force control precision in the press machines and significant improvement in the performance generated by the designed controller is compared with the traditional PID and fuzzy PID controllers.
Journal ArticleDOI

Interval type-2 fuzzy inverse controller design in nonlinear IMC structure

TL;DR: This study has proposed a systematic method to form the inverse of the interval type-2 Takagi–Sugeno fuzzy model based on a pure analytical method that is embedded into a nonlinear internal model control structure to provide an effective and robust control performance.
Journal ArticleDOI

Research and applications of active bearings: A state-of-the-art review

TL;DR: The paper presents the characteristics of bearings as well as the basic advantages, disadvantages and possibilities offered by active control of various types of bearings, and possible directions of development of active bearings (ABs).
References
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Journal ArticleDOI

A robust self-tuning scheme for PI- and PD-type fuzzy controllers

TL;DR: The proposed self-tuning technique is applied to both PI- and PD-type FLCs to conduct simulation analysis for a wide range of different linear and nonlinear second-order processes including a marginally stable system where even the well known Ziegler-Nichols tuned conventional PI or PID controllers fail to provide an acceptable performance due to excessively large overshoot.
Journal ArticleDOI

A PID type fuzzy controller with self-tuning scaling factors

TL;DR: Simulation of the PID type fuzzy controller with the self-tuning scaling factors shows a better performance in the transient and steady state response.
Journal ArticleDOI

PID type fuzzy controller and parameters adaptive method

TL;DR: It is revealed that this type of fuzzy controller behaves approximately like a PD controller that may yield steady-state error for the control system, and a new fuzzy controller structure is proposed which retains the characteristics similar to the conventional PID controller.
Journal ArticleDOI

Adaptive autocentering control for an active magnetic bearing supporting a rotor with unknown mass imbalance

TL;DR: A new approach is presented that compensates for transmitted force due to imbalance in an active magnetic bearing system by performing on-line identification of the physical characteristics of rotor imbalance and to use the identification results to tune a stabilizing controller.
Journal ArticleDOI

Sliding mode neural network inference fuzzy logic control for active suspension systems

TL;DR: This paper presents the development of a robust intelligent nonlinear controller for active suspension systems based on a comprehensive and realistic nonlinear model and shows that the proposed controller outperforms existing conventional controllers with regard to body acceleration, suspension deflection, and tire deflection.
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