Systems In MATLAB Research Articles

Performance Analysis of the Computational Implementation of a Simplified PV Model and MPPT Algorithm

In many research centers around the world, had been researched models that accurately represent the PV modules operation. In this context, this paper presents a modeling of photovoltaic modules, which aims to simplify the simulation of photovoltaic systems in MATLAB®/Simulink. The model in question has not been very explored in the literature and, therefore, this paper has the purpose of evaluating its results connecting the model to a boost converter, being its main function the Maximum Power Point Tracking applying one of the most known methods, the P&O (Perturb & Observe). Furthermore, this converter elevates the voltage generated by the photovoltaic modules, in order to connect the PV array to the grid through an inverter. This paper also presents a good correlation between the theoretical and practical results from the modeling of the photovoltaic cell, and was observed a high efficiency of the implemented MPPT algorithm.

Optimal Placement of Phasor Measurement Units with Linear and Non-linear Models

—This article presents a non-linear programming-based model for the optimal placement of phasor measurement units. The optimal phasor measurement units placement is formulated to minimize the number of phasor measurement units required for full system observability and to maximize the measurement redundancy at all buses in a power system. A sequential quadratic programming algorithm is used for the solution of the proposed model. The existence of power flow and injection measurements, the limited phasor measurement units channel capacity, the lack of communication facilities in substations, and the single phasor measurement units loss are also incorporated into the initial proposed formulation. The non-linear programming model is applied to IEEE 14- and 118-bus test systems in MATLAB. The accuracy and the effectiveness of the proposed method is verified by comparing the simulation results to those obtained by a binary integer programming model also implemented in MATLAB. The comparative study shows that the proposed non-linear programming model yields the same number of phasor measurement units as the binary integer programming model. A remarkable advantage of the non-linear programming against binary integer linear programming is its capability to give more than one optimal solution, each one having the same minimum number of phasor measurement units (same minimum objective value), but at different locations.

Numerical computation of bifurcations in large equilibrium systems in matlab

The Continuation of Invariant Subspaces (CIS) algorithm produces a smoothly-varying basis for an invariant subspace R(s) of a parameter-dependent matrix A(s). We have incorporated the CIS algorithm into Cl_matcont, a Matlab package for the study of dynamical systems and their bifurcations. Using subspace reduction, we extend the functionality of Cl_matcont to large-scale computations of bifurcations of equilibria. In this paper, we describe the algorithms and functionality of the resulting Matlab bifurcation package Cl_matcontL. The novel features include: new CIS-based, continuous, well-scaled test functions for codimension 1 and 2 bifurcations; detailed description of locators for large problems; and examples of bifurcation analysis in large sparse problems.

Investigation of the thermohydraulic systems in MATLAB & Simulink using developed library

Recent developments in the designing of the thermohydraulic systems have heightened the need for special software tools. Possibility of incorporating the measured data, easy and quick rearrangement of the system and short simulation time play a key role in successful progress in designing of the thermohydraulic systems. Commercial software sometimes does not fit to our special tasks or it lacks some utilities. This paper attempts to show usefulness of MATLAB and Simulink in the development of the drag and software. In the Simulink it is possible to develop specialized libraries containing graphical blocks representing parts of the real systems. Easy cooling circuit was designed using developed graphical blocks. The main parts of the circuit consist of the heat source and heat exchanger/cooler. Another parts such as pumps, pipes and properties of the cooling medium etc. are taken into account in the investigated system. These results obtained by the developed software are presented for similar circuits with di erent heat exchangers/coolers. Simulations for di erent heat exchangers were solved with di erent initial conditions. These results are consequently compared. Characteristic properties (heating/cooling power and pressure drop according to flow rate) of the heat exchangers/coolers were obtained experimentally in our laboratory and by the numerical CFD simulation in ANSYS/FLUENT software.

Working with Time-Delay Systems in MATLAB®

This paper presents the functionality of Control System Toolbox in MATLAB regarding systems with time-delays. The toolbox allows the user to define their systems in different system representations and to make complex system interconnections. The user can analyze the overall system in time and frequency domains with different tools and design PID controllers satisfying design requirements. Various visualization tools are available for analysis and design verification. This paper aims to introduce these functionalities to researchers and engineers and to discuss the open directions in computer algorithms for control system design.

Channel Estimation for MIMO MC-CDMA Systems

The concepts of MIMO MC-CDMA are not new but the new technologies to improve their functioning are an emerging area of research. In general, most mobile communication systems transmit bits of information in the radio space to the receiver. The radio channels in mobile radio systems are usually multipath fading channels, which cause inter-symbol interference (ISI) in the received signal. To remove ISI from the signal, there is a need of strong equalizer. In this thesis we have focused on simulating the MIMO MC-CDMA systems in MATLAB and designed the channel estimation for them.

Design and Implementation of Embedded Systems in Matlab&Simulink Environment

This paper deals with possibilities and concepts of design and implementation of embedded systems in Matlab&Simulink environment and their toolboxes and blocksets. It describes implementation of embedded system control design on mechatronic models in the Laboratory of Control systems and Instrumentation within the frame of education of automation at the Department of Measurement and Control.

Technical note: Simulating chemical systems in Fortran90 and Matlab with the Kinetic PreProcessor KPP-2.1

Abstract. This paper presents the new version 2.1 of the Kinetic PreProcessor (KPP). Taking a set of chemical reactions and their rate coefficients as input, KPP generates Fortran90, Fortran77, Matlab, or C code for the temporal integration of the kinetic system. Efficiency is obtained by carefully exploiting the sparsity structures of the Jacobian and of the Hessian. A comprehensive suite of stiff numerical integrators is also provided. Moreover, KPP can be used to generate the tangent linear model, as well as the continuous and discrete adjoint models of the chemical system.

Polynomial Control Toolbox: A New Aid for Teaching Linear Systems in MATLAB

Abstract The Polynomial Control Toolbox is the Matlab Toolbox for polynomials, polynomial matrices and their use for linear control design. It covers basic operations on and among polynomial matrices, special forms of polynomial matrices, various linear equations polynomial matrices and polynomial matrix factorization problems. In addition, procedures for solving both standard and modern control design problems for linear multi-input multi-output systems based on polynomial matrix operations and equations are supported.

Modeling and Simulation of Hybrid Systems in MATLAB

Earlier research in the modeling and simulation of hybrid systems led to the development of a general hybrid systems modeling language (HSML) that has been described elsewhere. Effort is underway to implement this concept in software. First, the standard matlab model framework and integration algorithms were extended to support state-event handling in continuous-time components, including approaches for dealing with vector-field conflicts and changing model order and structure. More recently, further extensions have been made to handle embedded discrete-time components.In this paper we describe the algorithmic implementation of the HSML ideas and language constructs for dealing with state events and embedded discrete-time modules in MATLAB. An example will be presented to show the efficacy of these extensions.