Title :
Tuning PID and PI/λDδ Controllers using the Integral Time Absolute Error Criterion
Author :
Maiti, Deepyaman ; Acharya, Ayan ; Chakraborty, Mithun ; Konar, Amit ; Janarthanan, Ramadoss
Author_Institution :
Dept. of Electron. & Telecommun. Eng., Jadavpur Univ., Kolkata
Abstract :
Particle swarm optimization (PSO) is extensively used for real parameter optimization in diverse fields of study. This paper describes an application of PSO to the problem of designing a fractional-order proportional-integral-derivative (PIlambdaDdelta) controller whose parameters comprise proportionality constant, integral constant, derivative constant, integral order (lambda) and derivative order (delta). The presence of five optimizable parameters makes the task of designing a PIiquestDiquest controller more challenging than conventional PID controller design. Our design method focuses on minimizing the integral time absolute error (ITAE) criterion. The digital realization of the deigned system utilizes the Tustin operator-based continued fraction expansion scheme. We carry out a simulation that illustrates the effectiveness of the proposed approach especially for realizing fractional-order plants. This paper also attempts to study the behavior of fractional PID controller vis-a-vis that of its integer-order counterpart and demonstrates the superiority of the former to the latter.
Keywords :
control system synthesis; particle swarm optimisation; three-term control; PIlambdaDdelta controller tuning; PID controller tuning; PSO; continued fraction expansion scheme; derivative constant; derivative order; fractional-order proportional-integral-derivative controller; integral constant; integral order; integral time absolute error criterion; particle swarm optimization; proportionality constant; Control systems; Design methodology; Fractional calculus; PD control; Particle swarm optimization; Pi control; Proportional control; State feedback; Telecommunication control; Three-term control; Continued fraction expansion; ITAE criterion; PID and PI¿D¿ controllers; fractional calculus; particle swarm optimization;
Conference_Titel :
Information and Automation for Sustainability, 2008. ICIAFS 2008. 4th International Conference on
Conference_Location :
Colombo
Print_ISBN :
978-1-4244-2899-1
Electronic_ISBN :
978-1-4244-2900-4
DOI :
10.1109/ICIAFS.2008.4783932