Smooth indirect adaptive sliding mode control

Teixeira, Leonardo; Oliveira, Jackson Araújo de; Araujo, Aldayr D.

doi:10.1002/rnc.3099

Cited by 12 publications

(3 citation statements)

References 25 publications

(34 reference statements)

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“…In addition to this, the SMC at high speeds experiences problems such as chattering due to high switching gains. These particular aspects make the SMC less attractive to bearingless drives even though it offers robust and stable behavior [35].…”

Section: A Global Sliding-mode Control (Gsmc) Approch For Eccentric Fmentioning

confidence: 99%

Global Sliding-Mode Suspension Control of Bearingless Switched Reluctance Motor under Eccentric Faults to Increase Reliability of Motor

et al. 2020

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Bearingless motor development is a substitute for magnetic bearing motors owing to several benefits, such as nominal repairs, compactness, lower cost, and no need for high-power amplifiers. Compared to conventional motors, rotor levitation and its steady control is an additional duty in bearingless switched reluctance motors when starting. For high-speed applications, the use of simple proportional integral derivative and fuzzy control schemes are not in effect in suspension control of the rotor owing to inherent parameter variations and external suspension loads. In this paper, a new robust global sliding-mode controller is suggested to control rotor displacements and their positions to ensure fewer eccentric rotor displacements when a bearingless switched reluctance motor is subjected to different parameter variations and loads. Extra exponential fast-decaying nonlinear functions and rotor-tracking error functions have been used in the modeling of the global sliding-mode switching surface. Simulation studies have been conducted under different testing conditions. From the results, it is shown that rotor displacements and suspension forces in X and Y directions are robust and stable. Owing to the proposed control action of the suspension phase currents, the rotor always comes back rapidly to the center position under any uncertainty.

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Section: A Global Sliding-mode Control (Gsmc) Approch For Eccentric Fmentioning

confidence: 99%

Global Sliding-Mode Suspension Control of Bearingless Switched Reluctance Motor under Eccentric Faults to Increase Reliability of Motor

et al. 2020

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“…Variable Structure Model Reference Adaptive Control (VS-MRAC) has been widely investigated and developed in both theoretical aspects and real world applications over the past few decades (Fernandes et al, 2010; Gaeta and Montanaro, 2014; Han et al, 2007; Lee and Singh, 2012; Oliveira et al, 2007; Queiroz et al, 2010; Saedodin et al, 2010; Teixeira et al, 2013; Trajkov et al, 2008; Xu and Yan, 2008; Demetriou, 2002; Yan, 2000). It consists of combining two known approaches, namely, variable structure control (Hsu and Costa, 1989; Sabanovic et al, 2004; Nunes, 2006), known for its robustness against unmodelled dynamics, and the model reference adaptive control (Ioannou and Sun, 1996; Tao, 2003), known for its tracking capability.…”

Section: Introductionmentioning

confidence: 99%

Discrete variable structure model reference adaptive control using only input-output measurements

Znidi

Dehri

Nouri

2016

Transactions of the Institute of Measurement and Control

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Designing an adequate controller for a plant with an arbitrary relative degree is still an active area of research. In this paper, a discrete variable structure model reference adaptive control using only input-output measurements (DVS-MRAC-IO) for not strictly positive real systems with a relative degree of two is proposed. In order to show the effectiveness of the proposed controller, a detailed stability analysis is studied using Lyapunov theory. Further, a straightforward generalization of DVS-MRAC-IO for systems with arbitrary relative degree is presented. Numerical results are used to show the effectiveness of the proposed methods.

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“…To achieve this, a switching control signal is designed, and in theory, its frequency must be infinite to keep the trajectory sliding to the desired final value. As this is not possible in practice, several methods are available to avoid the chattering phenomenon , which occur because of the practical finite switching frequency, which is commonly undesirable, because it may deteriorate actuators.…”

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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Smooth indirect adaptive sliding mode control

Cited by 12 publications

References 25 publications

Global Sliding-Mode Suspension Control of Bearingless Switched Reluctance Motor under Eccentric Faults to Increase Reliability of Motor

Global Sliding-Mode Suspension Control of Bearingless Switched Reluctance Motor under Eccentric Faults to Increase Reliability of Motor

Discrete variable structure model reference adaptive control using only input-output measurements

A feasibility study of sliding mode predictive control for greenhouses

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