Eine Plattform für die Wissenschaft: Bauingenieurwesen, Architektur und Urbanistik
Optimal design of fractional-order PID controllers for multi-input multi-output (variable air volume) air-conditioning system using particle swarm optimization
Nowadays, since variable air volume (VAV) systems are more economical than other alternative systems, the building industry has widely adopted them in the building engineering to maintain the cooling and heating demands. In this article a multivariable decoupling fractional-order PID (FOPID) () controller has been designed for a VAV system. We present a method for optimum tuning of practical controllers for VAV system by using particle swarm optimization (PSO) algorithm. By comparing this technique with the other methods, both its influence and its efficiency are illustrated. Simulations and comparisons with PID controller demonstrate that the proposed PSO- controller can provide good control performance with respect to reference input.
Optimal design of fractional-order PID controllers for multi-input multi-output (variable air volume) air-conditioning system using particle swarm optimization
Nowadays, since variable air volume (VAV) systems are more economical than other alternative systems, the building industry has widely adopted them in the building engineering to maintain the cooling and heating demands. In this article a multivariable decoupling fractional-order PID (FOPID) () controller has been designed for a VAV system. We present a method for optimum tuning of practical controllers for VAV system by using particle swarm optimization (PSO) algorithm. By comparing this technique with the other methods, both its influence and its efficiency are illustrated. Simulations and comparisons with PID controller demonstrate that the proposed PSO- controller can provide good control performance with respect to reference input.
Optimal design of fractional-order PID controllers for multi-input multi-output (variable air volume) air-conditioning system using particle swarm optimization
Nasirpour, Naeimeh (Autor:in) / Balochian, Saeed (Autor:in)
Intelligent Buildings International ; 9 ; 107-119
03.04.2017
13 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Mitigating Recurrent Congestion via Particle Swarm Optimization Variable Speed Limit Controllers
Online Contents | 2019
|Probabilistic multi-objective optimal design of composite channels using particle swarm optimization
Taylor & Francis Verlag | 2013
|Probabilistic multi-objective optimal design of composite channels using particle swarm optimization
Online Contents | 2013
|Probabilistic multi-objective optimal design of composite channels using particle swarm optimization
British Library Online Contents | 2013
|Mitigating Recurrent Congestion via Particle Swarm Optimization Variable Speed Limit Controllers
Springer Verlag | 2019
|