The Application of Stochastic Optimization Algorithms to the Design of a Fractional-order PID Controller

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dc.creatorChakraborty, Mithun
dc.creatorMaiti, Deepyaman
dc.creatorKonar, Amit
dc.date2008-11-01
dc.date.accessioned2026-07-07T10:14:44Z
dc.date.available2026-07-07T10:14:44Z
dc.descriptionThe Proportional-Integral-Derivative Controller is widely used in industries for process control applications. Fractional-order PID controllers are known to outperform their integer-order counterparts. In this paper, we propose a new technique of fractional-order PID controller synthesis based on peak overshoot and rise-time specifications. Our approach is to construct an objective function, the optimization of which yields a possible solution to the design problem. This objective function is optimized using two popular bio-inspired stochastic search algorithms, namely Particle Swarm Optimization and Differential Evolution. With the help of a suitable example, the superiority of the designed fractional-order PID controller to an integer-order PID controller is affirmed and a comparative study of the efficacy of the two above algorithms in solving the optimization problem is also presented.
dc.description2008 IEEE Region 10 Colloquium and the Third ICIIS, Kharagpur, INDIA. Paper Identification Number: 396
dc.identifierhttps://arxiv.org/abs/0811.0079
dc.identifierhttp://arxiv.org/abs/0811.0079
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/172984
dc.subjectOther Computer Science
dc.titleThe Application of Stochastic Optimization Algorithms to the Design of a Fractional-order PID Controller
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