Robust Control: First-Order Sliding Mode Control Techniques

Martins, Nardênio Almeida; Bertol, Douglas Wildgrube

doi:10.1007/978-3-030-77912-2_5

Cited by 1 publication

(2 citation statements)

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“…The gain calculation process ends when the functions 𝜆 i and 𝛾 i (i = 1, 2) are bounded as in (23), and the bounds are then utilised to calculate the gains following (24).…”

Section: Second Control Term V I Sm Designmentioning

confidence: 99%

“…To reduce chattering, several innovative solutions have been proposed over the years. Some approaches are boundary layer control, that is, replacing the discontinuous

\text{sign}(\cdot)

terms in the control function by piece‐wise linear or smooth approximations of the switching [19, 20], observer based SMC, that is, localize the the high frequency phenomena in the feedback loop by combining discontinuous control which an asymptotic observer [21], and others [22–24]. Among these, SOSM control is one of the most successful and widespread approaches to reducing chattering [18, 25–27].…”

Section: Introductionmentioning

confidence: 99%

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Adaptive second order sliding mode control of an oscillating water column

Mosquera,

Evangelista,

Puleston

et al. 2023

IET Renewable Power Gen

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The energy from waves has a vast untapped potential to contribute to renewable energy supply and diversification. For that reason, wave energy conversion systems have been a topical research area in recent years. In particular, harnessing wave energy with an oscillating water column converter has proved to be one suitable solution, which has also seen a number of successful deployments. Nevertheless, additional research is required for this technology in order to reach full commercial maturity and economic performance. This paper proposes an adaptive second order sliding mode controller to maximise the converted energy. In particular, the proposed adaptive control setup maintains the sliding mode robust features, while reducing high frequency oscillations and abrupt control actions produced by fixed‐gain algorithms. A comparison of energy generation performance shows better energy conversion efficiency of the proposed control strategy over standard speed regulation control strategies, even considering air compression dynamics and hydrodynamics in the tests.

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“…The gain calculation process ends when the functions 𝜆 i and 𝛾 i (i = 1, 2) are bounded as in (23), and the bounds are then utilised to calculate the gains following (24).…”

Section: Second Control Term V I Sm Designmentioning

confidence: 99%

“…To reduce chattering, several innovative solutions have been proposed over the years. Some approaches are boundary layer control, that is, replacing the discontinuous