Optimal Sliding Mode Chaos Control of Direct-Drive Wave Power Converter

Huang, Junqi; Yang, Junhua; Xie, Dongshen; Wu, Danqi

doi:10.1109/access.2019.2925470

Cited by 15 publications

(9 citation statements)

References 29 publications

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“…The study of non-linear electric drive systems is divided into two categories, (1) analysis of these systems [12][13][14][15][16][17], and (2) their control [18][19][20][21]. Many works have been carried out to analyse the non-linear behaviour of chaos in electrical machine drive systems and the results of these works have been published in various references.…”

Section: Introductionmentioning

confidence: 99%

“…In the field of chaos suppression and synchronization in electric drive system, several non-linear control methods such as non-linear feedback control method [18], adaptive time-delayed feedback control method [19], optimal adaptive back stepping control method [20], optimal sliding mode control method [21] have been introduced. It seems that no significant work has been done so far in the field of chaos control in a real PMSMSDS.…”

Section: Introductionmentioning

confidence: 99%

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Extended Poincaré model and non‐linear analysis of permanent‐magnet synchronous motor scalar drive system

Babaei

Feyzi

Marashi

2022

IET Power Electronics

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In this paper, bifurcation diagrams, modified Poincaré map and Lyapunov exponents characteristic are developed for studying non-linear phenomenon in dynamics of permanent-magnet synchronous machine scalar drive systems (PMSMSDS). For this, extended Poincaré model of the system is introduced analytically taking into account voltage saturation effects. Using this proposed discrete map model, chaotic and stable region of the PMSMSDS in voltage frequency plane of the system are determined. Furthermore, bifurcation diagram of the system is derived when reference command speed is considered as a bifurcation parameter. Lyapunov exponents are calculated numerically in order to prove the chaotic response of the system and evaluate the accuracy of simulation and numerical results. Experimental test is implemented to investigate the occurrence of chaotic behaviour in the system. It is shown that the proposed map model of the PMSMSDS is capable to predict the chaotic behaviour of the system at any conditions.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Extended Poincaré model and non‐linear analysis of permanent‐magnet synchronous motor scalar drive system

Babaei

Feyzi

Marashi

2022

IET Power Electronics

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“…Wave energy has good potential in the 100% renewable power generation goal. It can satisfy more than 10% of the total global demand for electricity [12]. The structure of the Archimedes wave swing is presented in [13].…”

Section: Introductionmentioning

confidence: 99%

Tidal Supplementary Control Schemes-Based Load Frequency Regulation of a Fully Sustainable Marine Microgrid

Fayek

Mohammadi‐Ivatloo

2020

Inventions

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The world is targeting fully renewable power generation by the middle of the century. Distributed generation is the way to increase the penetration level of renewable energies. This paper presents load frequency control of a hybrid tidal, wind, and wave microgrid to feed an isolated island. This research is a step towards 100% renewable energy communities in remote seas/oceans islands. The wave and tidal generation systems model are presented. The study presents load frequency control through three supplementary control strategies: conventional integrators, fractional order integrator, and non-linear fractional order integrator. All the controllers of the microgrid are designed by using a novel black widow optimization technique. The applied technique is compared to other existing state-of-the-art algorithms. The results show that the black widow non-linear fractional integrator has a better performance over other strategies. Coordination between the unloaded tidal system and blade pitch control of both wind and tidal systems are adopted in the microgrid to utilize the available reserve power for the frequency support. Simulation and optimization studies are performed using the MATLAB/SIMULINK 2017a software application.

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“…Various implementations show the compatibility of SMCs with real-world systems [2], [3]. This is because, for practical systems, many parameters have to be measured, and the uncertainties in the measurements can be troublesome for modeling and control purposes.…”

Section: Introductionmentioning

confidence: 99%

Design of Sliding Mode Control for Complex Nonlinear Models: A Numerical Approach

Rehan

Al‐Durra

2020

IEEE Access

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In this work, a numerical approach of formulating Sliding Model Control (SMC) is proposed to deal with complex nonlinear models of certain physical systems. Analytical formulation of SMC for such models is not possible as SMCs require algebraic manipulation of system equations, which is not achievable when the system model has strong nonlinearities. For such models, it is proposed to solve the SMC design using a numerical method that deals with numerical values instead of variables or functions in the equations. Mostly, SMC control law is dependent on the bounds of variables that are present in the mathematical expression of time derivatives of the sliding variable. To compute these bounds, a numerical approach is carried out using uncertainty bounds of the system's parameters. Also, a numerical approach is used to compute time derivatives of nonlinear functions that are required in the formulation of SMC. Various forms of SMCs are investigated in this respect, including the basic first-order SMC and a second-order SMC. The proposed framework is generalized as well, making it compatible with a wide range of nonlinear models whose algebraic manipulation is not possible. A prototype example of a nonlinear model of a boiler is used as a proof-of-concept. The simulation results are promising and prove the efficacy of the proposed approach.

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Optimal Sliding Mode Chaos Control of Direct-Drive Wave Power Converter

Cited by 15 publications

References 29 publications

Extended Poincaré model and non‐linear analysis of permanent‐magnet synchronous motor scalar drive system

Extended Poincaré model and non‐linear analysis of permanent‐magnet synchronous motor scalar drive system

Tidal Supplementary Control Schemes-Based Load Frequency Regulation of a Fully Sustainable Marine Microgrid

Design of Sliding Mode Control for Complex Nonlinear Models: A Numerical Approach

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