Applying hybrid genetic–PSO technique for tuning an adaptive PID controller used in a chemical process

The conventional PID controller has static parameters that cannot be changed at different operating conditions. As a result, the term ‘adaptive PID controller’ has appeared to solve this problem. This controller can be tuned using intelligent techniques such as Fuzzy Logic Control, Neural Network Co...

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Vydáno v:	Soft computing (Berlin, Germany) Ročník 24; číslo 5; s. 3455 - 3474
Hlavní autoři:	El-Gendy, Eman M., Saafan, Mahmoud M., Elksas, Mohamed S., Saraya, Sabry F., Areed, Fayez F. G.
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Berlin/Heidelberg Springer Berlin Heidelberg 01.03.2020 Springer Nature B.V
Témata:	Adaptive control Adaptive systems Artificial Intelligence Artificial neural networks Butanol Chemical reactions Computational Intelligence Control Controllers Distillation Energy consumption Engineering Ethanol Fuzzy control Fuzzy logic Fuzzy systems Genetic algorithms Heuristic methods Mathematical Logic and Foundations Mechatronics Methodologies and Application Mutation Network control Optimization algorithms Parameters Particle swarm optimization Performance evaluation Proportional integral derivative Robotics PID controller Neural PID tuner Genetic algorithm ANFIS PID tuner Fuzzy gain scheduling PID Hybrid GA-PSO Divided wall distillation column Particle swarm optimization
ISSN:	1432-7643, 1433-7479
On-line přístup:	Získat plný text
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