An Energy Management System for Hybrid Electric Vehicles is described based on a Model Predictive Control solution. This is implemented using a processor-in-the-loop simulation running on a GreenBox II development boa...
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An Energy Management System for Hybrid Electric Vehicles is described based on a Model Predictive Control solution. This is implemented using a processor-in-the-loop simulation running on a GreenBox II development board from NXP Semiconductors. The hybrid vehicle considered contains an internal combustion engine and an electric motor in a parallel configuration. The MPC design involves a Linear Parameter-Varying model to approximate the nonlinear vehicle model and provide a simpler algorithm for implementation. The control policy was integrated into the GBII control board and assessed in simulation with the processor in the loop. The very promising performance of the proposed predictive controller in terms of mileage and battery degradation is compared with the well-established Equivalent Consumption Minimization Strategies. Copyright (c) 2022 The Authors. This is an open access article under the CC BY-NC-ND license
An Energy Management System for Hybrid Electric Vehicles is described based on a Model Predictive Control solution. This is implemented using a processor-in-the-loop simulation running on a GreenBox II development boa...
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An Energy Management System for Hybrid Electric Vehicles is described based on a Model Predictive Control solution. This is implemented using a processor-in-the-loop simulation running on a GreenBox II development board from NXP Semiconductors. The hybrid vehicle considered contains an internal combustion engine and an electric motor in a parallel configuration. The MPC design involves a Linear Parameter-Varying model to approximate the nonlinear vehicle model and provide a simpler algorithm for implementation. The control policy was integrated into the GBII control board and assessed in simulation with the processor in the loop. The very promising performance of the proposed predictive controller in terms of mileage and battery degradation is compared with the well-established Equivalent Consumption Minimization Strategies.
This paper describes the design and implementation of PID and fuzzy logic controllers for tracking the desired heading angle for a scaled autonomous multi-wheeled combat vehicle (AMWCV). The challenge of designing the...
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This paper describes the design and implementation of PID and fuzzy logic controllers for tracking the desired heading angle for a scaled autonomous multi-wheeled combat vehicle (AMWCV). The challenge of designing these control systems is to control the steering of the front four wheels individually in order to obtain the correct heading angle of the vehicle. The performance of the developed controllers is validated in the presence of noise and disturbance in order to evaluate the irrobustness. A processor-in-the-loop (PIL) co-simulation is conducted to permit and achieve amore realistic situation where the developed control algorithms are evaluated while running on a dedicated processor. The obtained results from both simulation and PIL are compared. This comparison will demonstrate the controller effectiveness in tracking the desired heading angles.
This paper proposes a novel mechanical-sensorless maximum power point tracking (MPPT) algorithm for a 400 W wind energy conversion systems (WECS). The algorithm is based on a permanent magnet synchronous generator (PM...
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This paper proposes a novel mechanical-sensorless maximum power point tracking (MPPT) algorithm for a 400 W wind energy conversion systems (WECS). The algorithm is based on a permanent magnet synchronous generator (PMSG), which is connected to a rotor side power converter via a three-phase diode rectifier (3P-DR). In order to achieve a practical implementation and capture the maximum wind energy from a wide range of wind speed values by means of a cost-effective MPPT method, the novel MPPT algorithm is developed via the combination of an intelligent modular multilayer perceptron (MLP) approach and a simplified model of WECS. The rotational speed of the wind turbine (WT) is predicted by the modular MLP. This speed is used by the simplified model to compute the optimal current reference, which is used by a control interface for the rotor side power converter to track the maximum power point (MPP) of WECS. The modular MLP, which includes three feed-forward MLP structures, is designed by considering 266,001 data recorded from each conduction modes of the 3P-DR, namely: 2/0, 2/3, and 3/3 modes. Each MLP structure consists of two inputs, five neurons in the hidden layer and an output layer with one neuron, obtaining a considerable reduction in its computational complexity. The output voltage and current of the 3P-DR are the inputs to the modular MLP, while the rotational speed is the target to learn. Results based on the processor-in-the-loop (PIL) approach, clearly show that the efficiency of the MPPT process is 99.95% when WECS is subjected to random noise conditions and wind gusts at very high speed (in average above 7 m/s).
The modular multi-level converter is an emerging technology for high-voltage applications, renewable energy and motor drive. By using the model-based design, the embedded software is designed step by step, main intere...
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ISBN:
(纸本)9781728136462
The modular multi-level converter is an emerging technology for high-voltage applications, renewable energy and motor drive. By using the model-based design, the embedded software is designed step by step, main interest are software in-the-loop and processor-in-the-loop approaches. The converter modelling and control have been thoroughly investigated in the literature, a verification of the controllers according with both approaches are presented in this paper. The submodule-level averaged model is used in a 150 MW grid connected converter. Test numerical equivalence is developed in host platform for the software-in-the-loop stage. processor-in-the-loop stage by behaviour test of the code generated is tested, the simulation is developed in the Texas Instruments F28335 Delfino MCU processor. It is concluded that the presented control strategies in-the-loop simulations are closed to the model simulated in Matlab/Simulink, this verification is a valuable results for the next implementation in real-time simulation.
processor-in-the-loop (PIL) is a test technique that allows designers to evaluate a controller, running in a dedicated processor, of a plant which runs in an offline simulation platform. By the other side, Hardware-in...
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ISBN:
(纸本)9781509017751
processor-in-the-loop (PIL) is a test technique that allows designers to evaluate a controller, running in a dedicated processor, of a plant which runs in an offline simulation platform. By the other side, Hardware-in-the-loop (HIL) is an approach to test a plant or controller running in a digital platform which interacts with the real controller or plant. Here we present how to implement PIL and the preliminaries to HIL of electronic/electric systems with easy access technology through a code generation tool called Xilinx System Generator, a FPGA device and a personal computer. Two systems with different dynamics, a dc-dc buck converter and a dc motor, are selected in order to illustrate the FPGA based PIL and HIL implementation. For every system its model synthetization as well as its corresponding settings is carried out and tested.
processor-in-the-loop (PIL) is a test technique that allows designers to evaluate a controller, running in a dedicated processor, of a plant which runs in an offline simulation platform. By the other side, Hardware-in...
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ISBN:
(纸本)9781509017768
processor-in-the-loop (PIL) is a test technique that allows designers to evaluate a controller, running in a dedicated processor, of a plant which runs in an offline simulation platform. By the other side, Hardware-in-the-loop (HIL) is an approach to test a plant or controller running in a digital platform which interacts with the real controller or plant. Here we present how to implement PIL and the preliminaries to HIL of electronic/electric systems with easy access technology through a code generation tool called Xilinx System Generator, a FPGA device and a personal computer. Two systems with different dynamics, a dc-dc buck converter and a dc motor, are selected in order to illustrate the FPGA based PIL and HIL implementation. For every system its model synthetization as well as its corresponding settings is carried out and tested.
This paper proposes an efficient method to obtain the equivalent fundamental positive-sequence voltage for determining the shunt active power filter (APF) reference compensation currents, where the source voltage magn...
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This paper proposes an efficient method to obtain the equivalent fundamental positive-sequence voltage for determining the shunt active power filter (APF) reference compensation currents, where the source voltage magnitude and phase angle at the fundamental frequency are detected by a simplified adaptive linear combiner neural network. The APF reference current calculator is developed and is realized on the DSP board through processor-in-the-loop (PIL) simulation for validating the effectiveness of the proposed APF control strategy, where the source voltages and the load currents are both distorted and unbalanced. In addition, results obtained based on the true positive-sequence fundamental source current after APF compensation and another classic approach are included for comparison. It is shown that results obtained by the PIL simulations with the proposed and compared methods agree very well. The proposed APF reference compensation current strategy is simple and practical, which provides a cost-effective and computationally efficient manner for the APF controller implementation with PIL simulations. Copyright (c) 2013 John Wiley & Sons, Ltd.
In this study, an improved repetitive control strategy is proposed in order to increase the stability and overall system performance for grid-integration of vehicular fuel cells. Unlike traditional synchronous referen...
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In this study, an improved repetitive control strategy is proposed in order to increase the stability and overall system performance for grid-integration of vehicular fuel cells. Unlike traditional synchronous reference frame based controller under harmonic compensation and unstable grid conditions, the proposed control method operates effectively under grid voltage distortions and aims to achieve a smoother sinusoidal output with minimum total harmonic distortion (THD). The proposed method is based on repetitive controller with a delay line mechanism and a feedback loop to provide a precise tracking of reference current while reducing output switching ripples. The effectiveness of the proposed control structure is validated through processor-in-the-loop based digital implementation using a Delfino TMS320F28379D evaluation board. Comparative analysis results show that the proposed repetitive control method achieves lower THD values and improved power quality in comparison with conventional control method. The THD value of 1.59% in the conventional method decreases to 1.07% THD with the proposed controller. The performance results confirm the robustness of the proposed control method in handling dynamic load variations and maintaining stable power injection into the electrical grid.
Power electronic systems are rapidly evolving;thus,effective prototyping methods are required to test control algorithms and assess system performance prior to hardware implementation. This research suggests a Model-I...
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Power electronic systems are rapidly evolving;thus,effective prototyping methods are required to test control algorithms and assess system performance prior to hardware implementation. This research suggests a Model-In-The-loop (MIL), Software-In-The-loop (SIL), and processor-in-the-loop (PIL) methodologies-based complete prototyping strategy for flyback converters using the TIF28069M Launchpad kit. These techniques can be combined to evaluate control strategies accurately and quickly, speeding up design cycles and enhancing system reliability. The proposed prototyping platform is presented in this work, along with a thorough explanation of each prototyping stage and its associated advantages. The effectiveness of the suggested approachfor 50W rated power flyback converter in terms of quick algorithm development, system simulation, real-time control implementationand controller design accuracy isanalyzed andshown by experimental *** results show that the performance of the designed controller for the flyback converter is almost the same as in MIL and SIL implementation in terms of the overshoot and settling time in the reference voltage tracking. On the other hand, in the PIL implementation, the overshoot performance of the controller deviates by 1.18% more than in SIL and MIL *** alsoconfirm thatthe flyback control system's performance isreliable and effective during all phases of development.
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