Abstract
The majority of marine current conversion technologies are based on permanent magnet synchronous generators (PMSG) due to its numerous advantages such as high-power density, low cost, and favorable electricity production. However, nonlinear properties of the generator and parameter uncertainties, makes the controller design more than a simple challenge. This paper proposes a new adaptive passivity-based (PB) modified super twisting algorithm (PBSTA) for control performance improvement (low tracing errors, fast convergence response, robustness) of a PMSG based marine current energy conversion system under swell effect and parameter uncertainties. The proposed approach combines a new PB current control (PBCC) with a new adaptive modified super twisting algorithm through a fuzzy logic supervisor. A new adaptive fractional order PID (FO-PID) controller is introduced to design the desired dynamics of the system. The main contributions and motivation of this work include the extraction of maximum power from the tidal current, integrating it to the grid and making the closed loop system passive. This is possible by reshaping system energy and introducing a damping term that compensates the nonlinear terms by a damped way and not by cancellation. Two steps are needed to design the proposed controller: the first step includes the derivation of reference current based on the reference torque using adaptive FO-PID. In the second step, the overall control law is computed by the proposed PBSTA. The exponential stability and error convergence of the proposed controller are analytically proven. The developed controller is tested under parameter variations and it is compared to benchmark nonlinear control methods such as sliding mode. Extensive investigation under MATLAB/Simulink, demonstrates clearly that the proposed technique provides higher efficiency and robustness over the benchmark nonlinear control methods.
Highlights
In the electric power sector, the world is seeking to significantly reduce its dependence on fossil fuels, which areThe associate editor coordinating the review of this manuscript and approving it for publication was Qiuye Sun .characterized by high greenhouse gas emissions and unstable prices
The new passivity-based modified super twisting algorithm combined with adaptive fractional order PID controller is investigated for performance improvement of a permanent magnet synchronous generators (PMSG) dedicated to marine current conversion system
The proposed strategy will be compared to the FPBLFC controller [17] and the second-order sliding mode control (SMC) controller [7]
Summary
In the electric power sector, the world is seeking to significantly reduce its dependence on fossil fuels, which are. A detailed review on the control strategies developed for PMSG based tidal energy conversion system is presented in [5]. To design the desired dynamics, a new adaptive fractional order PID controller via a fuzzy logic method is introduced, which enhances the robustness regardless of the external disturbances and parameter uncertainties of the PMSG. This paper addresses the following two main objectives: controlling the PMSG to guarantee the extraction of maximum tidal power and integrate it to the grid For this the new hybrid method is presented. The new passivity-based modified super twisting algorithm combined with adaptive fractional order PID controller is investigated for performance improvement of a PMSG dedicated to marine current conversion system.
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