Neuro-Fuzzy based on support vector machine friction compensator in servo hydraulic system

Hutamarn, Santi; Pratumsuwan, Pornjit; Po-Ngaen, Watcharin

doi:10.1109/iciea.2012.6361080

Cited by 2 publications

(3 citation statements)

References 10 publications

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“…The importance of friction effects in modeling an hydraulic servo system cannot be over-emphasized since friction is an inherent feature of all machine incorporating parts with relative motion [9]. By considering all the difficulties involved in accurately modeling the friction, authors in [4] presented a LuGre model-based adaptive control scheme which gives a better estimation of the friction, good disturbance rejection and general robustness to uncertainties in parameters.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Backstepping control of an electro-hydraulic servo system subject to disturbance and parameter uncertainty

Ayinde

El-Férik

Ibrir

et al. 2015

2015 IEEE 8th GCC Conference &Amp; Exhibition

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This paper addresses the control of a hydraulic servo system rod subject to uncertainty in parameters and to an unknown but bounded disturbance. The proposed backstepping-based robust controller guaranties a uniformly ultimately bounded tracking error leading to practical stability of the closed loop system. Two schemes are proposed. First, a constant gain-based controller that achieves a good tracking accuracy with a steady state error in the millimeter range, but induces control input oscillations in transient.To improve such behavior, a second controller with time varying gain is proposed. Both controllers assure robustness against perturbations and uncertainties in the dynamics of the system. Numerical simulations illustrate the efficacy of the proposed scheme.

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Section: Introductionmentioning

confidence: 99%

“…In [9], a neuro-fuzzy approach which is based on support vector machine friction compensation was proposed. The technique was used to enhance the position tracking and also to reduce the high steady state error and overshoot problems that tend to surface whenever the friction becomes nonlinear.…”

Section: Introductionmentioning

confidence: 99%

Backstepping control of an electro-hydraulic servo system subject to disturbance and parameter uncertainty

Ayinde

El-Férik

Ibrir

et al. 2015

2015 IEEE 8th GCC Conference &Amp; Exhibition

View full text Add to dashboard Cite

show abstract

“…Owing to this fact, the need to design a controller that adapts to these changes is of paramount importance. One important consideration that has to be carefully addressed in many mechanical systems is friction [9]. A LuGre model-based adaptive control scheme was proposed to model and estimate the frictional effect [2].…”

Section: Introductionmentioning

confidence: 99%

Artificial Bee Colony-based Adaptive Position Control of Electrohydraulic Servo Systems with Parameter Uncertainty

Ayinde,

El-Ferik

2017

Preprint

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In this paper, a robust adaptive backstepping-based controller is developed for positioning the spool valve of Electro-Hydraulic Servo System (EHSS) with parameter fluctuations. Artificial Bee Colony (ABC) algorithm is utilized to drive the parameters of the proposed controller to a good neighborhood in the solution space. The optimization problem is formulated such that both the tracking error and control signal are minimized concurrently. The results show that the proposed controller guarantees the uniform ultimate boundedness of the tracking error and control signal. Moreover, illustrative simulations validate the potentials and robustness of the proposed schemes in the presence of uncertainties. The proposed controller is also compared with sliding mode control.

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Neuro-Fuzzy based on support vector machine friction compensator in servo hydraulic system

Cited by 2 publications

References 10 publications

Backstepping control of an electro-hydraulic servo system subject to disturbance and parameter uncertainty

Backstepping control of an electro-hydraulic servo system subject to disturbance and parameter uncertainty

Artificial Bee Colony-based Adaptive Position Control of Electrohydraulic Servo Systems with Parameter Uncertainty

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