Technical gazette, Vol. 24 No. 3, 2017.
Original scientific paper
https://doi.org/10.17559/TV-20150310170741
PSO-based PID controller design for an energy conversion system using compressed air
Ismail Atacak
orcid.org/0000-0002-6357-0073
; Gazi University, Technology Faculty, Computer Eng. Dept., 06500, Teknikokullar, Ankara, Turkey
Bayram Küçük
orcid.org/0000-0002-1423-1905
; Gazi University, Institute of Informatics, 06500, Teknikokullar, Ankara, Turkey
Abstract
In this study, an optimal control algorithm is proposed to overcome low performance problems arising from the non-linear characteristics of pneumatic motor in compressed air-based energy conversion systems. The effectiveness of the proposed algorithm is tested on an energy conversion system which includes a compressor, a proportional valve, a pneumatic motor (PM), a permanent magnet direct current (PMDC) generator and a control card. The control function of the system is carried out by driving the proportional valve with the control signals which is obtained depending on the PMDC generator output voltage error. In this structure, an optimal proportional-integral-derivative (PID) controller which tunes on-line its own gain parameters by particle swarm optimization (PSO) algorithm according to the operating conditions of the system used. In order to observe the effects of PSO-based PID controller on the system performance, the energy conversion system is also controlled by a discrete time PID controller. The experimental results show that PSO-based PID controller provides more robust control performance than discrete time PID controller under various operating conditions.
Keywords
compressed air-based energy conversion; optimal PID controller; particle swarm optimization algorithm; pneumatic motor
Hrčak ID:
183022
URI
Publication date:
15.6.2017.
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