Advanced mechatronic design using a multi-objective genetic algorithm optimization of a motor-driven four-bar system

Affi, Zouhaier; EL-Kribi, Badreddine; Romdhane, Lotfi

doi:10.1016/j.mechatronics.2007.06.003

Cited by 49 publications

(29 citation statements)

References 13 publications

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“…They studied specifically the mechanical part of the mechatronic system and the controller was designed at a later stage. Affi et al [11] have shown the advantages of the simultaneous approach over the sequential one when designing a mechatronic system. The geometry and the dynamics are taken separately in a sequential approach and then simultaneously in the global one.…”

Section: Introductionmentioning

confidence: 99%

Application of multi-objective genetic algorithms to the mechatronic design of a four bar system with continuous and discrete variables

EL-Kribi

Houidi

Affi

et al. 2013

Mechanism and Machine Theory

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Section: Introductionmentioning

confidence: 99%

Application of multi-objective genetic algorithms to the mechatronic design of a four bar system with continuous and discrete variables

EL-Kribi

Houidi

Affi

et al. 2013

Mechanism and Machine Theory

Self Cite

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“…In recent years, the GA has continued to be improved upon and has been applied successfully to identify and optimize different nonlinear and dynamic systems [31,32]. Furthermore, considerable research has focused on improving GA performance [28][29][30].…”

Section: Modifications To the Conventional Genetic Algorithmmentioning

confidence: 99%

Identification of pneumatic artificial muscle manipulators by a MGA-based nonlinear NARX fuzzy model

Ánh

Ahn

2009

Mechatronics

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“…Various Genetic Algorithms (GA's) were applied successfully to highly complex mechatronic optimization problems [9,10,11]. Increasing computation power as well as the capability to parallelize GA's has lead generally to an upward trend of this way to solve optimization problems, compare Fig.…”

Section: Introductionmentioning

confidence: 99%

Comparison of Parameter Identification Techniques

Eder

Zehetner

Kunze³

2016

MATEC Web Conf.

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Abstract. Model-based control of mechatronic systems requires excellent knowledge about the physical behavior of each component. For several types of components of a system, e.g. mechanical or electrical ones, the dynamic behavior can be described by means of a mathematic model consisting of a set of differential equations, difference equations and/or algebraic constraint equations. The knowledge of a realistic mathematic model and its parameter values is essential to represent the behaviour of a mechatronic system. Frequently it is hard or impossible to obtain all required values of the model parameters from the producer, so an appropriate parameter estimation technique is required to compute missing parameters. A manifold of parameter identification techniques can be found in the literature, but their suitability depends on the mathematic model. Previous work dealt with the automatic assembly of mathematical models of serial and parallel robots with drives and controllers within the dynamic multibody simulation code HOTINT as fully-fledged mechatronic simulation. Several parameters of such robot models were identified successfully by our embedded algorithm. The present work proposes an improved version of the identification algorithm with higher performance. The quality of the identified parameter values and the computation effort are compared with another standard technique.

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Advanced mechatronic design using a multi-objective genetic algorithm optimization of a motor-driven four-bar system

Cited by 49 publications

References 13 publications

Application of multi-objective genetic algorithms to the mechatronic design of a four bar system with continuous and discrete variables

Application of multi-objective genetic algorithms to the mechatronic design of a four bar system with continuous and discrete variables

Identification of pneumatic artificial muscle manipulators by a MGA-based nonlinear NARX fuzzy model

Comparison of Parameter Identification Techniques

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