The goal of this study is to design a very robust and efficient standard fuzzy logic controller (FC) with tuned and deformed membership functions (FC-TMFS) using a new hybrid algorithm for speed control of the permane...
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The goal of this study is to design a very robust and efficient standard fuzzy logic controller (FC) with tuned and deformed membership functions (FC-TMFS) using a new hybrid algorithm for speed control of the permanent magnet synchronous motor. The proposed algorithm is a partial combination of three algorithms, which are sewing trainee-based optimization (STBO), particle swarm optimization (PSO), and symbiotic organism search (SOS). To demonstrate the superiority of the proposed algorithm (ST-PS-SO), FC-TMFS optimal parameters obtained using ST-PS-SO were compared to the optimal parameters achieved when using STBO, PSO, and SOS. In terms of the system performance, and the fitness of the global optimum parameters, ST-PS-SO convincingly out-competed all other algorithms. In addition to that, through MATLAB/SIMULINK simulation, ST-PSO-SOS-based FC-TMFS was compared to the classical proportional-integral (PI), and PI-derivative (PID) controllers, as well as the conventional FC with symmetric and untuned MFS, based on the results of speed tracking, torque induction, and robustness test, FC-TMFS convincingly outperformed all other controllers in every aspect by a very significant margin. Finally, processor-in-loop (PIL) implementation was also performed to validate and prove the importance and functionality of the designed FC-TMFS, as well as the capability of the proposed hybrid algorithm.
This paper deals with modeling, control and co-simulation of a single-phase single-stage Grid-interactive photovoltaic (PV) system with active filter functions. Single-phase PV systems are the most prevalent in roof-t...
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ISBN:
(纸本)9781424483570
This paper deals with modeling, control and co-simulation of a single-phase single-stage Grid-interactive photovoltaic (PV) system with active filter functions. Single-phase PV systems are the most prevalent in roof-top configurations. In this paper, the modeling of a PV array with maximum power point tracking is performed in MATLAB/Simulink. The developed PV array model may be directly connected to dc-side of the voltage source inverter used for grid PV interaction in order to evaluate its performance. This paper also deals with the development of a controller which either controls PV power or works as an active power filter or performs both the functions simultaneously. The injected active and reactive powers are regulated by changing the phase and amplitude, respectively, of the inverter output voltage. The simulation model of the overall system is developed in MATLAB/Simulink environment and then co-simulated (real-time) in digital signal processor TMS320F2812 through processor in loop (PIL) under rapidly changing atmospheric and load conditions to confirm its effectiveness as well as robustness.
This paper presents an implementation of automatic flight control system (AFCS); analyzes and assures its performance during model in loop (MIL), software in loop (SIL), and processor in loop (PIL) stages. Based on bo...
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This paper presents an implementation of automatic flight control system (AFCS); analyzes and assures its performance during model in loop (MIL), software in loop (SIL), and processor in loop (PIL) stages. Based on both linear and analytic linear models with trimmed values of straight and leveling scenario, the proposed autopilot is applied to an Ultrastick-25e fixed wing unmanned aerial vehicle (UAV). The implementation of Ultrastick-25e AFCS is accomplished according to the resulted design parameters, and performing various flight scenarios. The choice of avionics and sensors of small UAV (SUAV) required for stability based on commercial off the Shelf (COTS) components. The proposed design uses low cost and light weight micro electro mechanical systems (MEMS) as new sensor technology. Since MEMS suffers from various types of noise, state estimation technique is introduced using both Kalman filter (KF) and complementary filter. Moreover, both results of KF and complementary filter are compared. Finally, PIL simulation is implemented to evaluate the autopilot as hardware components and software algorithms for management and PID control structure with its parameters proposed for implementing AFCS. The results show a good performance in disturbance rejection and robustness against sensors noise.
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