Controlling the speed of a three-phase induction motor using a simplified indirect adaptive sliding mode scheme

Oliveira, Jackson Araújo de; Araujo, Aldayr D.; Dias, Samaherni

doi:10.1016/j.conengprac.2010.02.010

Cited by 36 publications

(10 citation statements)

References 16 publications

(19 reference statements)

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“…Therefore, many studies have been made on the motor drives in order to preserve the performance under these parameter variations and external load disturbances, such as nonlinear control, optimal control, variable structure system control, adaptive control, neural control and fuzzy control [9][10][11][12][13]. Recently, the genetic algorithm approach has also been used in order to control the electric motors.…”

Section: Introductionmentioning

confidence: 99%

A robust vector control for induction motor drives with an adaptive sliding-mode control law

Barambones

Alkorta

2011

Journal of the Franklin Institute

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Section: Introductionmentioning

confidence: 99%

A robust vector control for induction motor drives with an adaptive sliding-mode control law

Barambones

Alkorta

2011

Journal of the Franklin Institute

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“…The motivation has been how to blend this excellent robust tool (SMC) with traditional control designs, as SMC combinations with model reference adaptive control , adaptive pole placement control (APPC) , backstepping and GPC have been proved to be very interesting for environments subject to disturbances. Regarding GPC, the design presented in modified the controller proposed in in such a way that future control actions are also used to predict the sliding surface.…”

Section: Introductionmentioning

confidence: 99%

A feasibility study of sliding mode predictive control for greenhouses

Oliveira

Boaventura‐Cunha

Oliveira

2015

Optim Control Appl Methods

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Summary In this work, the feasibility of applying a Sliding Mode Predictive Controller (SMPC) to improve greenhouse inside air temperature control is addressed in terms of energy consumption, disturbance handling and set point tracking accuracy. Major research issues addressed concern the SMPC robustness study in greenhouse control, as well as to evaluate if the levels of performance and energy consumptions are acceptable when compared with the traditional generalized predictive controller. Besides the external disturbances related to weather conditions throughout the considered period, such as solar radiation and temperature variations, internal effects of irrigation system and external air flow entering the greenhouse must be taken into account. Simulations based on real data, carried out for a period of 4months, suggest that the strategy herein described not only appropriately rejects these disturbances, but also keeps the manipulated variables (heating and cooling) within feasible practical limits, with low levels of energy consumption, motivating its refinement for real application. SMPC results are presented and compared with the ones obtained with the generalized predictive controller. Both controllers are subject to actuator constraints and employ the Quadratic Programming for optimization. Copyright © 2015 John Wiley & Sons, Ltd.

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“…The main motivation to the development of this work was in the increasing use of IVS-MRAC in practical applications [26][27][28][29][30].…”

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confidence: 99%

Smooth indirect adaptive sliding mode control

Teixeira

Oliveira

Araujo

2013

Intl J Robust & Nonlinear

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In this paper, an indirect approach to the dual-mode adaptive robust controller (DMARC) is proposed, which combines the typical transient and robustness properties of variable structure systems with a smooth control signal in steady state, typical of conventional adaptive controllers, as model reference adaptive controller. The aim of this indirect version, here named indirect DMARC, is to provide a more intuitive controller design, based on physical plant parameters, as resistances, inertia moments, capacitances, and so on, maintaining DMARC properties. In this paper, a stability analysis for the proposed controller and simulations to an unstable second-order plant will be presented.

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Controlling the speed of a three-phase induction motor using a simplified indirect adaptive sliding mode scheme

Cited by 36 publications

References 16 publications

A robust vector control for induction motor drives with an adaptive sliding-mode control law

A robust vector control for induction motor drives with an adaptive sliding-mode control law

A feasibility study of sliding mode predictive control for greenhouses

Smooth indirect adaptive sliding mode control

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