Flower Pollination Algorithm Based PI Controller Design for Induction Motor Scheme of Soft-Starting

Over two decades, the fractional (non-integer) order PID (FOPID or PIλDµ ) controller was introduced and demonstrated to perform the better responses in comparison with the conventional integer order PID (IOPID). In this paper, the design of an optimal FOPID controller for a DC motor speed control system by the flower pollination algorithm (FPA), oneof the most efficient population-based metaheuristic optimization searching techniques, is proposed. Based on the modern optimization framework, five parameters of the FOPID controller are optimized by the FPA to meet the response specifications of the DC motor speed control system and defined as constraint functions. Results obtained by the FOPID controller are compared with those obtained by the IOPID designed by the FPA. As the simulation results show, the FOPID can provide significantly superior speed responses to the IOPID.

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Modeling and Optimal Control Applying the Flower Pollination Algorithm to Doubly Fed Induction Generators on a Wind Farm in a Hot Arid Climate

Journal of Solar Energy Engineering ◽

10.1115/1.4049570 ◽

2021 ◽

Vol 143 (4) ◽

Author(s):

Omar Chogueur ◽

Saïd Bentouba ◽

Mahmoud Bourouis

Keyword(s):

Wind Farm ◽

Short Circuit ◽

Pi Controller ◽

Electrical Network ◽

Flower Pollination Algorithm ◽

Dynamic Mode ◽

Flower Pollination ◽

First Case ◽

Doubly Fed

Abstract In the present paper, the flower pollination algorithm (FPA) is employed for tuning the controller parameters of a doubly fed induction generator (DFIG) in a wind energy system. These parameters are then compared with those generated by the genetic algorithm (GA) and the proportional-integral (PI) (initial design) controllers. Performance analysis of the DFIG is carried out in dynamic mode in two case studies. The first case study is carried out with no failure, the second one is subject to a short circuit in the electrical network. In this latter case study, a break occurs in the rotor circuit and disconnects the DFIG from the power grid. This gives rise to an excessive current in the rotor circuit which in turn influences the converters AC/DC/AC and makes the IGBT very sensitive. The GA and the FPA are used to tune the PI controllers with the purpose of improving the quality of a power supply should electrical disturbances occur. The results show that by applying an optimal PI controller design to a DFIG using the FPA the performance of the DFIG system can be improved in the event of disturbances. When the PI controller tuning using the GA and the initial control system design is compared with the DFIG using the optimized design, a significant decrease in the overshoot of the rotor current and the DC-link voltage is observed.

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Optimization of P& PI controller parameters for variable speed drive systems using a flower pollination algorithm

Heliyon ◽

10.1016/j.heliyon.2020.e04648 ◽

2020 ◽

Vol 6 (8) ◽

pp. e04648 ◽

Cited By ~ 2

Author(s):

Safwan Nadweh ◽

Ola Khaddam ◽

Ghassan Hayek ◽

Bassam Atieh ◽

Hassan Haes Alhelou

Keyword(s):

Pi Controller ◽

Flower Pollination Algorithm ◽

Variable Speed ◽

Variable Speed Drive ◽

Flower Pollination ◽

Drive Systems

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