Hybrid fuel cell propulsion systems for marine applications are attracting widespread interest due to the need to reduce ship emissions. In order to increase the potential of these systems, the ...design of an efficient energy management strategy (EMS) is essential to distribute the required power properly between different components of the hybrid system. For a hybrid fuel cell/battery passenger ship, a multi-scheme energy managements strategy is proposed. This strategy is developed using four schemes which are: state-based EMS, equivalent fuel consumption minimization strategy (ECMS), charge-depleting charge-sustaining (CDCS) EMS, the classical proportional-integral (PI) controller based EMS, in addition to a code that chooses the suitable scheme according to the simulation inputs. The main objective of the proposed multi-scheme EMS is to minimize the total consumed energy of the hybrid system in order to increase the energy efficiency of the ship.
The world's first fuel cell passenger ship FCS Alsterwasser is considered and its hybrid propulsion system is modelled in MATLAB/Simulink environment. The performance of the developed multi-scheme EMS is compared to the four studied strategies in terms of total consumed energy, hydrogen consumption, total cost and the stresses seen by the hybrid fuel cell/battery system components considering a daily ship operation of 8 h. Results indicate that a maximum energy and hydrogen consumption savings of 8% and 16.7% respectively can be achieved using the proposed multi-scheme strategy.
•A multi-scheme energy management strategy is introduced for hybrid fuel cell ship.•Changing the used strategy during operation can save consumed hydrogen and energy.•Changing the used strategy during operation does not increase operational stresses.•Hybrid fuel cell systems' operational cost is dominated by hydrogen cost.
The performance of a photovoltaic (PV) module is mostly affected by array configuration, irradiance, and module temperature. It is important to understand the relationship between these effects and ...the output power of the PV array. This paper presents a MATLAB-Simulink-based PV module model which includes a controlled current source and an S-Function builder. The modeling scheme in S-Function builder is deduced by some predigested functions. Under the conditions of nonuniform irradiance, the model is practically validated by using different array configurations in testing platform. The comparison experiments indicate that I-V and P-V characteristic curves of simulation match the measurements from outdoor experiment well. Under the conditions of nonuniform irradiance, both simulation and experiment show that the output power of a PV array gets more complicated due to multiple peaks. Moreover, the proposed model can also simulate electric circuit and its maximum power point tracking (MPPT) in the environment of MATLAB-Simulink. The experiments show that the proposed model has good predictability in the general behaviors of MPPT under the conditions of both nonuniform and uniform irradiance.
Mechanized analysis of white platelets malignant growth infections, for example, Leukemia and Myeloma is a difficult biomed-ical inquire about point. Our methodology introduces out of the blue ...another best in class application that helps with diagnosing the white platelets infections. we break these sicknesses into two classifications, every classification contains like side effects infections that may confound in diagnosing. In light of the specialist's determination, one of two methodologies is actualized. Each methodology is connected on one of the two maladies classification by processing distinctive highlights. At last, Random Forest classifier is connected for ultimate choice. The proposed methodology means to early disclosure of white platelets malignancy, decrease the misdiagnosis cases notwithstanding improve the framework learning approach. In addition, permitting the specialists just to have the last tuning on the outcome acquired from the framework. The proposed methodology accomplished an exactness of 93% in the principal classification and 95% in the second class.
Abstract Traditional FPGA development faces challenges such as long development cycles and high development difficulty. However, the method proposed in this paper overcomes these issues, improves ...FPGA development efficiency, reduces development costs, and provides designers with greater flexibility. Based on the model of an inverter control algorithm, this paper utilizes MATLAB software and employs Simulink’s embedded coder HDL Coder to automatically generate code from the model. Additionally, leveraging the FPGA-in-the-loop tool, a connection between the FPGA and the external simulation environment Simulink is established, enabling combined simulation of MATLAB and FPGA to accelerate the design and verification of the inverter control algorithm.
In this short paper, we study the problem of traversing a crossbar through a bent channel, which has been formulated as a nonlinear convex optimization problem. The result is a MATLAB code that we ...can use to compute the maximum length of the crossbar as a function of the width of the channel (its two parts) and the angle between them. In case they are perpendicular to each other, the result is expressed analytically and is closely related to the astroid curve (a hypocycloid with four cusps).
In many engineering domains, complex systems are composed of several interconnected and interacting parts that are modeled and analyzed in different ways. This is the case, for instance, of modern ...power systems, which are commonly labeled as “hybrid” for this very reason. This heterogeneity has triggered the development of numerical tools capable of simulating the different parts making up a hybrid system. Often, however, these tools either tackle a very specific aspect of power systems analysis (e.g., power flow computation), or are composed of interacting parts that rely on heuristics for their correct functioning. In this paper we describe pan, a free simulator developed in our group combining very high numerical efficiency with a vast choice of simulation algorithms suited for power system analysis. We also introduce three recently developed open-source interfaces to panwritten in the MATLAB, Python, and Juliaprogramming languages, which greatly reduce development times and allow the user to incorporate power system analysis into extended simulation and analysis workflows. Together, these tools make up pansuite.
•The power system simulator pansuite is introduced, and its architecture described.•pansuite features interfaces in the MATLAB, Python and Julia programming languages.•Several use-case examples are presented to showcase pansuite’s functionalities.•The code of the interfaces is open source and available on GitHub.
In this paper, the complete kinematic and dynamic analysis of cam and follower is done and critical angular speed is determined for each design to predict when the follower jumps off the cam. ...Analytical method is used, as it is more accurate and less time consuming and if programmed for the complete solution. The dynamic force analysis determines the cam contact forces and values of kinematic parameters at which the design fails. The analytical calculation is done in excel sheet for both kinematic and dynamic analysis of cam follower system for any rotational speed and angle of rise.
This paper describes the design and implementation in real time of a nonlinear control for a wind energy conversion system (WECS). The Backstepping control has been implemented to improve the ...performance of the conversion system based on a permanent magnet synchronous generator (PMSG) connected to the grid. Two static back-to-back converters ensure grid connection and are controlled by Pulse Width Modulation (PWM). The proposed control algorithm ensures proper speed control to extract maximum power. First of all, a WECS full review has been discussed. Thereafter, a Backstepping control laws detailed description based on the Lyapunov stability technique has been reported. Consequently, these control thus helping it possible to operate the complete system in the best performances in the static and dynamic regimes. The second part of this article has been devoted to the Backstepping control experimental validation using the dSPACE DS1104 control board and the Matlab-Simulink environment in order to check and validate the system efficiency. The results achieved have been clearly responded to the requirements of robustness and follow-up of references even under fluctuating wind conditions, and confirmed the control effectiveness in both static and dynamic operating modes.
This paper describes nonlinear methods in model building, dynamic data reconciliation, and dynamic optimization that are inspired by researchers and motivated by industrial applications. A new ...formulation of the ℓ1-norm objective with a dead-band for estimation and control is presented. The dead-band in the objective is desirable for noise rejection, minimizing unnecessary parameter adjustments and movement of manipulated variables. As a motivating example, a small and well-known nonlinear multivariable level control problem is detailed that has a number of common characteristics to larger controllers seen in practice. The methods are also demonstrated on larger problems to reveal algorithmic scaling with sparse methods. The implementation details reveal capabilities of employing nonlinear methods in dynamic applications with example code in both Matlab and Python programming languages.
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