This paper presents a control strategy for harmonic compensation using a fuzzy logic controlled shunt active power filter generating a 400 kHz PWM control signal compatible with recent Silicon Carbide inverters. The d...
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This paper presents a control strategy for harmonic compensation using a fuzzy logic controlled shunt active power filter generating a 400 kHz PWM control signal compatible with recent Silicon Carbide inverters. The designed controller uses the p-q Theory, a modified Fuzzy DC regulator instead of a PI Fuzzy and high speed current generation for the 400 kHz PWM control signal. This paper also describes and analyzes the improvement in increasing the switching frequency and its relation to the total harmonic distortion at the source and the filter inductors size. Such control presents a complexity in terms of speed which is solved by the use of a fpga. The fpga allows the Fuzzy DC controller to operate in parallel with the p-q Theory and the 400 kHz PWMgenerator, optimizing speed and hardware with the use of VHDL-2008 fixed-point libraries. The controller is synthesized in the Altera Cyclone (R) IV EP4CE115 from DE2-115 board. The implementation is experimentally validated by "fpga in the loop" and compared with other similar solutions showing better performance and effectiveness.
The paper presents a scalable architecture for fast emulation of Systems-on-Chip. It is implemented on a dedicated modular fpga-based hardware platform. This verification ecosystem presents a new approach to improve e...
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ISBN:
(纸本)9781509024674
The paper presents a scalable architecture for fast emulation of Systems-on-Chip. It is implemented on a dedicated modular fpga-based hardware platform. This verification ecosystem presents a new approach to improve efficiency of the verification process through hardware-based acceleration of tests. The system consists of dedicated hardware modules and third-party;easy-to-get evaluation boards to provide an affordable solution for SMEs with fast bring-up time for emulation purposes. By complying to many industry standards in the areas of communication interfaces, memory modules, and connectors, the presented platform acts as a cost-effective, desktop-size solution and can be used in early stages of hardware-assisted verification process. It provides a debug capability which enables quick identification and elimination of implementation bugs. The paper also reports on the use of the emulation environment in fpga-in-the-loop simulation. This solution may be applied to a broad range of applications.
In this work, a Field Programmable Gate Array (fpga)-based embedded software platform coupled with a software-based plant, forming a Hardware-In-the-loop (HIL), is used to validate a systematic sensor selection framew...
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ISBN:
(纸本)9781479999361
In this work, a Field Programmable Gate Array (fpga)-based embedded software platform coupled with a software-based plant, forming a Hardware-In-the-loop (HIL), is used to validate a systematic sensor selection framework. The systematic sensor selection framework combines multi-objective optimization, Linear-Quadratic-Gaussian (LQG) control, and the nonlinear model of a maglev suspension. The physical process that represents the suspension plant is realized in a high-level system modeling environment, while the LQG controller is implemented on an fpga. fpgas allow to rapidly evaluate algorithms and test designs under real-world scenarios avoiding heavy time penalty associated with Hardware Description Language (HDL) simulators. Moreover, the HIL technique implemented shows a significant speed-up in the required execution time when compared to the software-based model.
This work proposes a design methodology for predictive control applied to the single-phase PWM inverter with an LC filter. The control system purpose is to track a sinusoidal signal at the inverter output. The designe...
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This work proposes a design methodology for predictive control applied to the single-phase PWM inverter with an LC filter. In the design, we considered that the PWM inverter has parametric uncertainties in the filter ...
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This work proposes a design methodology for predictive control applied to the single-phase PWM inverter with an LC filter. In the design, we considered that the PWM inverter has parametric uncertainties in the filter inductance and output load resistance. The control system purpose is to track a sinusoidal signal at the inverter output. The designed control system with an embedded integrator uses the principle of receding horizon control, which underpinned predictive control. The methodology was described by linear matrix inequalities, which can be solved efficiently using convex programming techniques, and the optimal solution is obtained. MATLAB-Simulink and real-time fpga-in-the-loop simulations illustrate the viability of the proposed control system. The LMI-based MPC reveals an effective performance for tracking of a sinusoidal reference signal and disturbance rejection of input voltage and load perturbations for the inverter subject to uncertainties.
This work compares the performance of two embedded fpga controllers that can be used in Active Parallel Power Filters (APPF). Both controllers are validated through the fpga-in-the-loop (FIL) technique, the algorithm&...
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This work compares the performance of two embedded fpga controllers that can be used in Active Parallel Power Filters (APPF). Both controllers are validated through the fpga-in-the-loop (FIL) technique, the algorithm's synthesis is accomplished using the Quartus II (R) platform, and the board used is from Altera(R)-Cyclone IV DE2-115. The main difference between the controllers resides in the power theories used to obtain the currents for compensation. The results confirm that the fpga is a suitable digital device for the parallel operation of multiple compensators and calculation stages, being a viable solution for the requirements imposed in the control of APPF. Furthermore, the effectiveness of the FIL technique for validating the operation of digital circuits and control systems is also confirmed. Finally, a comparison between the processing costs of each of the implemented power theories is presented to guide novel proposals.
This study employs an fpga board to implement a robust control technique for wind energy conversion systems (WECS). This approach facilitates extensive testing and validation of the control system across diverse wind ...
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This study employs an fpga board to implement a robust control technique for wind energy conversion systems (WECS). This approach facilitates extensive testing and validation of the control system across diverse wind conditions, utilizing the fpga's parallel processing capabilities and advanced control algorithms. This method ensures robustness against nonlinearities and system uncertainties. fpga-in-the-loop (FIL) testing provides precise and effective simulation results, enabling rapid prototyping and iterative modifications of control algorithms. The effectiveness of the robust control strategy is confirmed by FIL findings, demonstrating significant improvements in WECS stability and efficiency. Furthermore, the study highlights the strategy's potential to enhance WECS reliability and efficiency in real-world applications.
This article presents a novel technique for the fast tuning of the parameters of the proportional-integral-derivative (PID) controller of a second-order heat, ventilation, and air conditioning (HVAC) system. The HVAC ...
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This article presents a novel technique for the fast tuning of the parameters of the proportional-integral-derivative (PID) controller of a second-order heat, ventilation, and air conditioning (HVAC) system. The HVAC systems vary greatly in size, control functions and the amount of consumed energy. The optimal design and power efficiency of an HVAC system depend on how fast the integrated controller, e.g., PID controller, is adapted in the changes of the environmental conditions. In this paper, to achieve high tuning speed, we rely on a fast convergence evolution algorithm, called Big Bang-Big Crunch (BB-BC). The BB-BC algorithm is implemented, along with the PID controller, in an fpga device, in order to further accelerate of the optimization process. The fpga-in-the-loop (FIL) technique is used to connect the fpga board (i.e., the PID and BB-BC subsystems) with the plant (i.e., MATLAB/Simulink models of HVAC) in order to emulate and evaluate the entire system. The experimental results demonstrate the efficiency of the proposed technique in terms of optimization accuracy and convergence speed compared with other optimization approaches for the tuning of the PID parameters: sw implementation of the BB-BC, genetic algorithm (GA), and particle swarm optimization (PSO).
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