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Comparison of PID and FOPID controllers tuned by PSO and ABC algorithms for unstable and integrating systems with time delay
Author(s) -
Bingul Zafer,
Karahan Oguzhan
Publication year - 2018
Publication title -
optimal control applications and methods
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.458
H-Index - 44
eISSN - 1099-1514
pISSN - 0143-2087
DOI - 10.1002/oca.2419
Subject(s) - pid controller , control theory (sociology) , settling time , particle swarm optimization , overshoot (microwave communication) , robustness (evolution) , step response , rise time , computer science , time domain , control engineering , algorithm , engineering , control (management) , temperature control , artificial intelligence , electrical engineering , voltage , gene , computer vision , telecommunications , biochemistry , chemistry
Summary This paper deals with optimization and design of an integer order–based and fractional order–based proportional integral derivative (PID) controller tuned by particle swarm optimization (PSO) and artificial bee colony (ABC) algorithms. These algorithms were used to find the best parameters for the best controller performance. A comparative study has been made to highlight the advantage of using ABC‐based controller over a PSO‐based controller. The validity of the controller tuning algorithms was tested in 2 different systems with time delay and a nonminimum phase zero used commonly in process control. The optimal tuning process of the PID and fractional order PID controllers has also been performed with 3 different cost functions. From the perspectives of time‐domain performance criteria, such as settling time, rise time, overshoot, and steady‐state error, the controller tuned by ABC gives better dynamic performances than controllers tuned by the PSO. Moreover, the results obtained from robustness analysis showed that the parameters of controller tuned by ABC are quite robust under internal and external disturbances.