Interpolating sliding mode observer for a ball and beam system

Hammadih, Mohammad Luai; Hosani, Khalifa Al; Boiko, Igor

doi:10.1080/00207179.2016.1161235

Cited by 14 publications

(2 citation statements)

References 19 publications

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“…Thus, we need to use a function through which individual estimates of multiple observers are incorporated into a single estimate. Incorporation of two estimates of different accuracy into a single one was proposed in . The incorporation of the two estimates is based on the output measurement y ( t ).…”

Section: Use Of Multiple Linearized Models In Observer Design For Nonmentioning

confidence: 99%

Multiple‐model sliding mode observer for an artificial gas lift system

Hammadih

Hosani

Boiko

2018

Asian Journal of Control

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Artificial gas lift is widely used in the oil industry to enhance oil recovery. Active feedback control of this process would lead to its stabilization, that in some operating modes may otherwise be unstable, and to the increase of oil production. However, the control strategies are normally constrained to the use of the surface-measured process variables. The use of down-hole measurements would improve the performance of the control system but is technically hardly feasible due to the necessity of placing instruments in harsh conditions. The use of state observation might be a feasible alternative to the down-hole measurements. Recent development of a new accurate model of the artificial gas lift process enables us to increase accuracy of observation due to the account of pressure and density distribution along the well depth. Besides, a new approach to a nonlinear model treatment proposed in the present paper leads to a high computational efficiency of the observer for the gas lift. The paper presents an approach to the design of a novel sliding mode observer for the gas lift process.The observer uses multiple linearized models representing deviations from a set of equilibrium points. These models are then incorporated to produce estimates for the gas lift process variables. The approach is supported by simulations.

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Section: Use Of Multiple Linearized Models In Observer Design For Nonmentioning

confidence: 99%

Multiple‐model sliding mode observer for an artificial gas lift system

Hammadih

Hosani

Boiko

2018

Asian Journal of Control

Self Cite

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“…From these considerations, in this paper, under unknown input, a second sliding mode differentiator making the parameter α variable according to the noise is proposed. Note that adaptive schemes of sliding mode controllers exist in the literature ( [15], [16], [17], [21], [22], [23], [24], [25], [26], [27]) but to our best of knowledge, there is no results yet in the literature dealing with a variable exponent of higher order sliding mode differentiators schemes. For schemes of differentiators with variables gains, see the works of [2] and [11].…”

Section: Introductionmentioning

confidence: 99%