Application of Intelligent Controller in a Ball and Beam Control System

Rahmat, M. F.; Wahid, Herman; Wahab, Norhaliza Abdul

doi:10.21307/ijssis-2017-378

Cited by 37 publications

(27 citation statements)

References 6 publications

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“…On the one hand, such problems represent [10] interest from the point of view of classical mechanics and control theory (that is, when a particular system with an explicit solution of the control problem is considered). On the other hand, the results of the project and the equations used can be used by engineers as a theoretical basis for further research that turns model tasks into complex mechatronic and robotic systems with different specifics (stabilization issues, feedbacks, the use of different sensors and other problems, up to artificial intelligence [63]). …”

Section: Resultsmentioning

confidence: 99%

Analysis of modern modeling methods in problems of stabilization of motions of mechatronic systems with differential constraints

A.Ya¹,

Krasinskaya²

2018

IJET

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The most important problem of controlling mechatronic systems is the development of methods for the fullest possible application of the properties of our own (without the application of controls) motions of the object for the optimal use of all available resources. The basis of this can be a non-linear mathematical model of the object, which allows to determine the degree of minimally necessary interference in the natural behavior of an object with the purpose of stable implementation of a given operating mode. The operating modes of the vast majority of modern mechatronic systems are realized due to the steady motions (equilibrium positions and stationary motions) of their mechanical components, and often these motions are constrained by connections of various kinds. The paper gives an analysis of methods for obtaining nonlinear mathematical models in stabilization problems of mechanical systems with differential holonomic and non-holonomic constraints.

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Section: Resultsmentioning

confidence: 99%

Analysis of modern modeling methods in problems of stabilization of motions of mechatronic systems with differential constraints

A.Ya¹,

Krasinskaya²

2018

IJET

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“…The ball and beam system is one of the most popular and important benchmark systems for studying control approaches, and, so far, many classical and modern control methods have been used to stabilise it (Mahmoodabadi, Momennejad, & Bagheri, 2014;Muškinja & Rižnar, 2015;Rahmat, Wahid, & Wahab, 2010). Figure 1 shows this system which consists of a homogeneous ball and a symmetric beam.…”

Section: Ball and Beam Systemmentioning

confidence: 99%

Gravitational search algorithm-based fuzzy control for a nonlinear ball and beam system

Mahmoodabadi

Danesh

2017

Journal of Control and Decision

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In recent decades, fuzzy logic and its application for stabilising nonlinear systems have had a great development. In this paper, a novel optimal fuzzy controller is provided to control a ball and beam system. The fuzzy control force is calculated via a fuzzy system based on the singleton fuzzifier, the centre average defuzzifier and the product inference engine. To further improve the control performance, the Gravitational Search Algorithm is applied to optimise the controller parameters. The obtained simulation results indicate that the proposed scheme can provide a better performance in the case of convergence rate and accuracy in comparison with those of other recently published works.

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“…Due to the nonlinearity and complexity of the governing dynamics, some researchers used non-model based control strategies such as Neural Network [7], Fuzzy Logic [3] and PID [4] to control the ball position and beam angle. The non-model based method does not require mathematical procedure to derive dynamic equations and to apply linearization.…”

Section: Figure 1 Ball and Beam Systemmentioning

confidence: 99%

“…The dynamics equation representing the variation effect of system variable is shown in equation (4). According to equation (4), equation (5) and (6) …”

Section: Figure 1 Ball and Beam Systemmentioning

confidence: 99%

Modeling and Control of Ball and Beam System using Model Based and Non-Model Based Control Approaches

Keshmiri

Jahromi

Mohebbi

et al. 2012

International Journal on Smart Sensing and Intelligent Systems

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Application of Intelligent Controller in a Ball and Beam Control System

Cited by 37 publications

References 6 publications

Analysis of modern modeling methods in problems of stabilization of motions of mechatronic systems with differential constraints

Analysis of modern modeling methods in problems of stabilization of motions of mechatronic systems with differential constraints

Gravitational search algorithm-based fuzzy control for a nonlinear ball and beam system

Modeling and Control of Ball and Beam System using Model Based and Non-Model Based Control Approaches

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