This work designs a powerful new nonlinear control technique using synergetic control (SC), proportional-integral (PI) controller, and genetic algorithm (GA) for multi-rotor wind energy (MRWE) conversion systems, whereby an asynchronous generator (AG) is used to achieve optimal energy extraction. ...
In this paper is presented the working principle of genetic algorithms used to dimension autonomous hybrid systems. It is presented a study case in which is dimensioned and optimized an autonomous hybrid system for a residential house located in Cluj-Napoca. After the autonomous hybrid system ...
A genetic algorithm is an optimization method that mimics Darwin’s principle of the survival of the fittest over a set (population) of candidate solutions (individuals) that evolves from one generation to another. From:Applied Energy,2015
Genetic algorithm adopts the working principle of natural evolutionary process, which has proved its excellence in solving constrain based complex problems. GA found to tackle these constrain based complex problems, which are found to be an issue for other approaches like branch and bound, dynamic pr...
several issues need to be addressed when applying genetic algorithm (GA) to cooperative control in MAS. First, existing studies in this area often focus on simple agent dynamics, such as single or double integrators. The cooperative control of high-order nonlinear MAS needs to be investigated, ...
The direct power control (DPC) algorithm is one of the most popular linear techniques used to implement notable controllers, known for their simplicity and fast dynamic response. However, this approach has drawbacks that cause a decrease in the current q
A genetic algorithm (GA) is a search technique used in computing to find exact or approximate solutions to optimization and search problems. Genetic algorithms are categorized as global search heuristi ...
This paper presents numerical simulation results of an airflow inclinometer with sensitivity studies and thermal optimization of the printed circuit board (PCB) layout for an airflow inclinometer based on a genetic algorithm (GA). Due to the working principle of the gas sensor, the changes of the...
16.3.3.4 Genetic Algorithm The GA is an evolutionary technique that simulates the biological process of evolution. The method uses the principle of “natural selection and survival” developed by Darwin. The parents meet within a population and they produce children who take features from them. In...
An adaptive genetic algorithm is a type of evolutionary computing algorithm that uses genetic operations such as reproduction, crossover, and mutation to train the weights of an adaptive controller in active noise and vibration control systems without the need for accurate secondary path modelling. AI...