Designing of an interval type-2 fuzzy logic controller for Magnetic Levitation System with reduced rule base

Kumar, Anupam; Panda, Manoj Kumar; Kundu, Sumnta; Kumar, Vijay

doi:10.1109/icccnt.2012.6395883

Cited by 17 publications

(5 citation statements)

References 28 publications

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“…Assuming that ball is not disturbed by a except the electromagnetic force (F) and gravity force (mg). The dynamic equation in can be described as [21,22], m =…”

Section: Magnetic Levitation Symentioning

confidence: 99%

“…The forc when current go through the circular windin the input current, winding produces a bala to the gravitational force(mg) and the s suspended in the given range. The distanc ball to electric magnet is detected by pho sensor, consisting light source and lig controlling of current in electromagnet is [12,21,22]. Assuming that ball is not disturbed by a except the electromagnetic force (F) and gravity force (mg).…”

Section: Magnetic Levitation Symentioning

confidence: 99%

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Performance analysis of Interval Type-2 FSM controller applied to a magnetic levitation system

Kumar

2015

2015 International Conference on Soft Computing Techniques and Implementations (ICSCTI)

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This exploration work is mainly focused for position control of the steel ball with no mechanical backing. The Interval Type-2 Fuzzy sliding mode Controller (IT2FSMC)takes concept of aninterval type-2 fuzzy (IT2FLS) and the sliding mode control (SMC) which acquires the advantages of both techniques. The IT2FSMC can decrease the multifaceted nature of analysis and usage by utilizing the sliding surface which uses less number of rules. On the other hand, in real time application uncertainty associated (instability connected) with the accessible data dependably happens.The magnetic levitation system (MLS) works in presence of disturbanceand tracking execution and robustness is additionally checked for this frameworkwith help of given controllers. The outlined proposed controller is equated with the conventional controller such as FLC, SMC and IT2FLC controller in the MATLAB-Simu link environment; It is also applied on real time magnetic levitation educational control equipment, GML1001. The results presented the effectiveness of the experimental procedure.

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“…Assuming that ball is not disturbed by a except the electromagnetic force (F) and gravity force (mg). The dynamic equation in can be described as [21,22], m =…”

Section: Magnetic Levitation Symentioning

confidence: 99%

Section: Magnetic Levitation Symentioning

confidence: 99%

Performance analysis of Interval Type-2 FSM controller applied to a magnetic levitation system

Kumar

2015

2015 International Conference on Soft Computing Techniques and Implementations (ICSCTI)

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“…In [13], two field-control synchronous motors are actuated a CNC biaxial motion machine using adaptive recurrent-neural-network (ARNN) motion control system. A type-l and the type-2 fuzzy set are characterized by a 2-D and 3-D membership function respectively [14]. Mirjalili et al [15] investigated the ant lion optimization (ALO) algorithm.…”

Section: Related Existing Workmentioning

confidence: 99%

Rapidly-implementable optimizely-sizable fuzzy controller architectures: A performance analysis for semiconductor packaging two axes table

Karam¹,

Ghintab²,

Hasan³

2019

PEN

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The tendency of miniaturizing semiconductor products towards nano-size transistor in integrated chips has motivated this work on the semiconductor package. Consequently, Four Fuzzy PID controller architectures based on type 2 FLC are developed; the Interval Type-2 Fuzzy Logic PID, IT2FLC PID MOALO-based, IT2FLC PI-PD, and IT2FLC PI-PD MOALO controllers. These architectures are improved to overcome the inherent nonlinearity in X-Y table models and capacitate the uncertainties of the parameters and the disturbances. Both controllers are designed to improve the desired position specification at minimum settling time (Ts), rise time (Tr), overshoot through minimization of oscillation and friction rejection during tracking the desired position trajectory. The ant lion optimization (ALO) algorithm has been efficiently solved optimization problems with minimum parameters and execution time. Hence, Multi-Objective Ant Lion Optimizer (MOALO) has been implemented to size the gains of the proposed controllers to get the desired position trajectory according to the required specification. A comparison with a related existing work shows minimal numerical values of improved transient specification response of Tr, Mp% and Ts for the MOALO-Based developed IT2 FLC PID and IT2 FLC PI-PD architectures. Observation of a higher Maximum Percentage of Enhancement settling time is noticed in both axes within the IT2FLC PI-PD architecture. Accordingly, transient performances of the four architectures have been significantly improved. The improvement is noticeable within the response of IT2FLC PI-PD architecture. The Maximum Percentage of Enhancement in the X-axis and Y-axis has been improved more than eight-fold and six-fold respectively using IT2FLC PI-PD architecture.

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“…An IT2 FLC was also utilized to control an active magnetic levitation system [82]. In this levitation system, electromagnets are used to support any component attached within the magnetic field.…”

Section: Power Management and Electrical Controlmentioning

confidence: 99%

Review of Recent Type-2 Fuzzy Controller Applications

et al. 2016

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Type-2 fuzzy logic controllers (T2 FLC) can be viewed as an emerging class of intelligent controllers because of their abilities in handling uncertainties; in many cases, they have been shown to outperform their Type-1 counterparts. This paper presents a literature review on recent applications of T2 FLCs. To follow the developments in this field, we first review general T2 FLCs and the most well-known interval T2 FLS algorithms that have been used for control design. Certain applications of these controllers include robotic control, bandwidth control, industrial systems control, electrical control and aircraft control. The most promising applications are found in the robotics and automotive areas, where T2 FLCs have been demonstrated and proven to perform better than traditional controllers. With the development of enhanced algorithms, along with the advancement in both hardware and software, we shall witness increasing applications of these frontier controllers.

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Designing of an interval type-2 fuzzy logic controller for Magnetic Levitation System with reduced rule base

Cited by 17 publications

References 28 publications

Performance analysis of Interval Type-2 FSM controller applied to a magnetic levitation system

Performance analysis of Interval Type-2 FSM controller applied to a magnetic levitation system

Rapidly-implementable optimizely-sizable fuzzy controller architectures: A performance analysis for semiconductor packaging two axes table

Review of Recent Type-2 Fuzzy Controller Applications

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