Abstract
Permanent magnet synchronous generator (PMSG) with a back-to-back power converter is one of the commonly used technologies in tidal power generation schemes. However, the nonlinear dynamics and time-varying parameters of this kind of conversion system make the controller computation a challenging task. In the present paper, a novel intelligent control method based on the passivity concept with a simple structure is proposed. This proposed strategy consists of passivity-based speed control (PBSC) combined with a fuzzy logic method to address the robustness problems faced by conventional control techniques such as proportional-integral (PI) control. The proposed method extracts the maximum power from the tidal energy, compensates for the uncertainty in a damped way where the entire dynamics of the PMSG are considered when designing the control law. The fuzzy logic controller is selected, which makes the proposed strategy intelligent to compute the damping gains to make the closed-loop passive and approximate the unstructured dynamics of the PMSG. Thus, the robustness property of the closed-loop system is considerably increased. The regulation of DC voltage and reactive power to their desired values are the principal objectives of the present work. The proposed method is used to control the machine-side converter (MSC), while a conventional PI method is adopted to control the grid-side converter (GSC). Dynamic simulations show that the DC voltage and reactive power errors are extremely reduced with the proposed strategy; ±0.002 for the DC-link voltage and ±0.000015 in the case of the reactive power. Moreover, the lowest steady-state error and better convergence criterion are shown by the proposed control (0.3 × 10−3 s). Generally, the proposed candidate offers high robustness, fast speed convergence, and high efficiency over the other benchmark nonlinear strategies. Moreover, the proposed controller was also validated in a processor in the loop (PIL) experiment using Texas Instruments (TI) Launchpad.
Highlights
The tidal energy that results from the transformation of the kinetic energy of marine currents into electrical energy through tidal turbines has gained increasing attention in recent years due to its advantages of being a clean source of renewable energy and highly predictable, compared to its predecessors [1,2]
The use of Permanent magnet synchronous generator (PMSG) in tidal turbine systems has high potential due to its reliability, increased energy, reduced failure, and the possibility to eliminate the gearbox, which leads to low maintenance and enables the PMSG to be very favorable in marine current applications [2]
A comparative analysis of the proposed FS-passivity-based speed control (PBSC) with the other control strategies is performed in Tables 4 and 5
Summary
The tidal energy that results from the transformation of the kinetic energy of marine currents into electrical energy through tidal turbines has gained increasing attention in recent years due to its advantages of being a clean source of renewable energy and highly predictable, compared to its predecessors [1,2]. To overcome the aforementioned control drawbacks, in the present paper, a novel passivity-based speed control (PBSC) combined with the fuzzy logic control for optimal performance of a PMSG is proposed and for the improvement of the power quality transferred to the grid. The fuzzy logic controller is selected which make reduces the system0 s sensitivity to measurement noise and greatly improves the system0 s proposed strategy intelligent to compute the damping gains and approximate the uns global stability and robustness. Extensive numerical investigations are made to de makes the proposed strategy intelligent to compute the damping gains and approximate strate the robustness of the proposed approach against parameter changes and ext the unstructured dynamics of the PMSG.
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
