The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
The current-voltage characteristics of photovoltaic module are non-linear, multivariable and multi-modal and difficult to optimize the electrical intrinsic parameters. The conventional methods are incapable to optimize the parameters of photovoltaic module with high accuracy. Recently, the bio-inspired algorithm such as firefly algorithm has attracted the intention to optimize the non-linear and complex...
This paper addresses the parameter identification of a batch bio-dissimilation process of glycerol to 1, 3-propanediol. Considering the least-square error criterion, the slop error criterion, and the sum of the least-square error criterion and slop error criterion of biomass, glycerol, 1, 3-propanediol, acetic acid and ethanol, respectively, three parameter identification models for the excess kinetics...
Accurate modelling of photovoltaic (PV) modules is necessary to understand PV cell operation and to develop maximum power point tracking (MPPT) algorithm for efficient operation of the PV system. A variety of models are proposed in the literature that use a current source, diodes and resistors to represent a PV module. The parameter values involved in the model need to be accurately estimated to improve...
The problem of estimating process derivatives in the on-line optimization case has been extensively addressed in last few decades. In fact, it has received such attention due to the fact that earlier methods have encountered major drawbacks in the past. These drawbacks have either caused the non-convergence of the optimization algorithm, or led to the decrease in its performance. This paper investigates...
In this paper, an optimal adaptive controller using Genetic Algorithm for a ball and hoop system is proposed. It is difficult to design an optimal PID controller for a ball and hoop system because of its continuously varying parameters. The proposed scheme employs a PID controller with an ability to adjust its parameters when the dynamic behavior of the system changes, thus maintaining the optimality...
The modeling of Photovoltaic (PV) cell plays a vital role in evaluating the performance and fault diagnosis of solar PV system. The parameters of the Solar PV model depend on the input parameters namely temperature and irradiance. The parameter estimation of Solar Photovoltaic module is one of the challenging research areas. In this work, the parameter estimation of the PV cell is formulated as an...
This paper presents the temperature model identification of a fuel cell using a polynomial NARMAX model. The NARMAX model identification using orthogonal least means square is affected by the input and output signal sample rate, since the regressors matrix can become ill conditioned. As a new approach, an evolutionary algorithm is proposed to determine the input and output signal sample rate, as to...
This paper presents the identification of a novel micro-positioning stage driven by voice coil motors (VCM) with hysteresis phenomenon, which is described by Bouc-Wen model. Real-coded genetic algorithm (RGA) method with adaptive crossover and mutation is implemented to identify the parameters simultaneously. In comparison of the experiment and simulations results, it can be found that the adopting...
The paper presents a technique for parameter estimation of photovoltaic (PV) modules from datasheet information. The manufacturer normally provides open-circuit voltage, short-circuit current, maximum power, and voltage at maximum power under the standard test conditions (STC). The four datasheet values represent the targeted performance of the module. Parameter estimation is formulated as an optimization...
Quadrotor helicopter is an increasingly popular rotorcraft platform for unmanned aerial vehicle (UAV) study. Development of a mathematical model with accurate model parameters for quadrotor is extremely beneficial to control the system. But accurate measurement of numerous vehicle parameters would be especially challenging. In this paper, a system identification method for the quadrotor model parameter...
To improve the identification accuracy of complex system, a genetic algorithm parameters identification method based on backstepping theory is proposed. First disassemble the passive force control system into input subsystem and output subsystem based on backstepping theory. Then identify parameter values of each subsystem using genetic algorithm method. And find the best mathematical model to approximate...
The accuracy of the power system model is important in investigating the transient phenomena of load frequency control (LFC). In this paper, Segmentation Particle Swarm Optimization (SePSO) method is proposed for governor-turbine model identification of single area power plant. The method is acquired based on a combination of segmentation and Particle Swarm Optimization (PSO) algorithms, in which...
Parameter inversion of solute BOD-DO water quality model was generally solved through a nonlinear operator equation. The original problem is finally transformed into an optimization problem by creating fit function. We used the genetic algorithm, which can search the best solution from many initial points and obtain the total optimum solution of water quality model three parameters at the same time,...
This article deals with estimation of shunt-wound motor parameters with help of a genetic algorithm. Only time waveform of total current drawn from a source (i.e. sum of an armature current and a field winding current) during transient after step-voltage application and corresponding steady-state value of angular velocity are used to all parameters estimation. Results of parameters estimation by a...
Reconstruction of a biological system from its experimental time series data is a challenging task in systems biology. The S-system which consists of a group of nonlinear ordinary differential equations (ODEs) is an effective model to characterize molecular biological systems and analyze the system dynamics. However, inference of S-systems without the knowledge of system structure is not a trivial...
Intuitionistic fuzzy logic has been implemented aiming to derive intuitionistic fuzzy estimations of S. cerevisiae fed-batch cultivation model parameters obtained using standard simple genetic algorithm. Performances of the examined algorithm have been tested before and after the application of the procedure for purposeful model parameters genesis and for three different values of the most sensitive...
Intuitionistic fuzzy logic has been implemented in this investigation aiming to derive intuitionistic fuzzy estimations of S. cerevisiae fed-batch cultivation model parameters obtained using multi-population genetic algorithm (MpGA). Performances of the examined algorithm have been tested before and after the application of the procedure for purposeful model parameters genesis for three different...
Frequency Modulation (FM) sound synthesis provides a neat synthesis method by which complex sound forms can be created simply and efficiently. However, it is difficult for traditional methods to find a best set of parameters in FM sounds synthesis because of the nonlinear parameter space. Differential Evolution (DE) is a recently proposed optimization technique which has shown excellent performance...
Accurate coefficient of permeability is of vital importance for the underground water computing. In the paper, the coefficient of permeability is identified based on the observed hydraulic heads and drainages. An optimization model is used to identify the coefficient of permeability, which is solved with genetic algorithm. The performances of the proposed identification measure with improved genetic...
In order to solve the problem of parameter estimation of nonlinear model in chemical engineering, a novel heuristic optimization approach is presented. The proposed approach develops and employs particle swarm optimization (PSO) technique to search for optimal solution of the parameter estimation. Firstly, the proposed approach converts the problem of parameter estimation of nonlinear model into an...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.