PID Parameters Optimization by Using Genetic Algorithm

04/04/2012

∙

Time delays are components that make time-lag in systems response. They arise in physical, chemical, biological and economic systems, as well as in the process of measurement and computation. In this work, we implement Genetic Algorithm (GA) in determining PID controller parameters to compensate the delay in First Order Lag plus Time Delay (FOLPD) and compare the results with Iterative Method and Ziegler-Nichols rule results.

READ FULL TEXT

PID Parameters Optimization by Using Genetic Algorithm

New mechanism of combination crossover operators in genetic algorithm for solving the traveling salesman problem

On the computational analysis of the genetic algorithm for attitude control of a carrier system

Estimating Random Delays in Modbus Network Using Experiments and General Linear Regression Neural Networks with Genetic Algorithm Smoothing

Data-Driven Optimization of Public Transit Schedule

Optimization by Hybridization of a Genetic Algorithm with the PROMOTHEE Method: Management of Multicriteria Localization

FOGA: Flag Optimization with Genetic Algorithm

Feasibility of Genetic Algorithm for Textile Defect Classification Using Neural Network

PID Parameters Optimization by Using Genetic Algorithm

Related Research

New mechanism of combination crossover operators in genetic algorithm for solving the traveling salesman problem

On the computational analysis of the genetic algorithm for attitude control of a carrier system

Estimating Random Delays in Modbus Network Using Experiments and General Linear Regression Neural Networks with Genetic Algorithm Smoothing

Data-Driven Optimization of Public Transit Schedule

Optimization by Hybridization of a Genetic Algorithm with the PROMOTHEE Method: Management of Multicriteria Localization

FOGA: Flag Optimization with Genetic Algorithm

Feasibility of Genetic Algorithm for Textile Defect Classification Using Neural Network