2008
DOI: 10.1109/tcst.2007.906272
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Controller Design for Large-Gap Control of Electromagnetically Levitated System by Using an Optimization Technique

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Cited by 41 publications
(12 citation statements)
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“…It is an unstable plant with changing parameters, nonlinearities, and unmodeled dynamics. Different control algorithms (both linear and nonlinear) [24][25][26][33][34][35][36][37][38][39][40][41][42] have been used for magnetic levitation applications. If the design is accomplished by using linear analysis, then classical control-based cascade compensation [14,28] or state feedback control [25] can be implemented.…”
Section: Literature Surveymentioning
confidence: 99%
See 1 more Smart Citation
“…It is an unstable plant with changing parameters, nonlinearities, and unmodeled dynamics. Different control algorithms (both linear and nonlinear) [24][25][26][33][34][35][36][37][38][39][40][41][42] have been used for magnetic levitation applications. If the design is accomplished by using linear analysis, then classical control-based cascade compensation [14,28] or state feedback control [25] can be implemented.…”
Section: Literature Surveymentioning
confidence: 99%
“…An optimization technique utilizing random search method with interval reduction, proposed by Luus and Jaakola, has been used for designing the maglev controller that provides stability and performance for an enhanced operating range [42]. A robust dynamic sliding mode control system using a recurrent Elman neural network is proposed to control the position of a levitated object of a magnetic levitation system, considering the uncertainties by Lin et al [43].…”
Section: Literature Surveymentioning
confidence: 99%
“…7 has been designed due to the high nonlinearity characteristics [11][12][13]. Unlike the conventional rotary motor control system with load directly applied to its operational directions, the proposed conveyance system will have the load mainly applied onto the direction that is orthogonal to the system moving directions.…”
Section: Control Strategy Design and Implementationmentioning
confidence: 99%
“…In order to achieve the timely and accurate control on the current through the electromagnet, various closed-loop current control approaches are proposed and mainly differ in current sensors / estimations: • Hall-effect current sensor [7,[11][12][13][14][15]: prone to electromagnetic disturbance, especially for small current; • Resistive current sensor [9,16]: prone to fluctuation by the frequent PWM switching; • Polynomial estimation [17]: based on the nonlinear relationship between the current and the PWM duty cycle; inaccurate due to temperature change of the electromagnet; untimely due to the inductance of the electromagnet; • State observer [11]: prone to nonlinearity and highly relies on the dynamic model. Hence, the hall-effect current sensor and the resistive current sensor can measure the current on the real-time basis, while the polynomial estimation and the state observer suffers from the nonlinear dynamics.…”
Section: Introductionmentioning
confidence: 99%