Design of Fractional-Order PID Controller for Fractional-Order System via Flower Pollination Algorithm

Khluabwannarat, Prapapan; Puangdownreong, Deacha

doi:10.1145/3375959.3375962

Cited by 2 publications

(4 citation statements)

References 14 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Once evaluating their cost function values, the authors [32] were found that the FO-model is more accurate than the IO-model. Consequently, in their next work [29], FO-model was adopted to design the integer-order and fractionalorder PID controller by using the same optimization algorithm (FPA) under the same objective function (SSE). Let's retake the transfer function of the FO-model (4).…”

Section: B) Bldc Motor Modelmentioning

confidence: 99%

“…It is clear that the response of the FO-model increases indefinitely which does not represent the reality where the motor speed stabilizes at a finite value. Therefore, the FO-model that the authors [29,32] have chosen is not suitable to represent the motor. In this paper, the BLDC motor is represented by IO-model (3) to design PID/FOPID controllers with single-and multiobjective optimization.…”

Section: + 11075ሻ ሺ5ሻmentioning

confidence: 99%

“…From literature review, for BLDC motor speed control there are some research articles [2,29,30] related to tunning of the FOPID parameters using single-objective function, but there is no work that has tried to optimize FOPID using multiobjective optimization approach. This motivated us to work in this area and benefit from the advantages of fractionalorder controllers and multi-objective optimization to boost the performance of the control system.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Comparative Study of Integer- and Fractional-Order PID Controller Tuning for BLDC Motor Speed Using Single- and Multi-Objective Optimization

BOUBIDI,

KECHIDA

2023

Preprint

View full text Add to dashboard Cite

This paper presents an optimal design of Integer- and Fractional-Order Proportional-Integral-Derivative (PID/FOPID) controller parameters for speed control of BLDC motor based on Single- and Multi-Objective Optimization (SOO/MOO). For SOO, the process of tunning was conducted via the Whale Optimization Algorithm (WOA) under Integral of Time Absolute Error (ITAE) objective function. At the end of SOO, the best solution which corresponds to PID/FOPID controller’s gains values has been obtained directly according to the minimum value of ITAE objective function. For MOO, the Multi-Objective Whale Optimization Algorithm (MOWOA) was used with three objective functions to minimize which are: settling time, overshoot and error steady state. The MOO generates non-dominated solutions forming Pareto front. The best compromise solution was obtained using fuzzy decision-making approach satisfying desired preferences. For the comparison of different controllers, step responses, frequency responses, tracking and load disturbance responses were all carried out and analyzed. The simulation results have shown that the MOWOA-FOPID controller provides a better response with faster speed without any overshoots, and good tracking capacity rejecting the load disturbances.

show abstract

Section: B) Bldc Motor Modelmentioning

confidence: 99%

Section: + 11075ሻ ሺ5ሻmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Comparative Study of Integer- and Fractional-Order PID Controller Tuning for BLDC Motor Speed Using Single- and Multi-Objective Optimization

BOUBIDI,

KECHIDA

2023

Preprint

View full text Add to dashboard Cite

show abstract

“…Therefore, the quality of the control algorithm directly determines the quality of the control of the electronic governor. Internationally, outstanding achievements have been made in the process of researching control algorithms [19][20][21][22][23][24][25][26][27], such as: PID control algorithm, fuzzy control algorithm, fuzzy PID control algorithm, current double closed-loop control algorithm, RBF neural network control algorithm, etc. However, with the improvement of control accuracy requirements, these control algorithms are no longer able to meet existing requirements well.…”

Section: Introductionmentioning

confidence: 99%

Speed Control and Optimization of Variable Speed Diesel Generator Set

2024

Teh. vjesn.

View full text Add to dashboard Cite

The fuel consumption rate of a diesel engine is closely related to its operating speed. In order to minimize the fuel consumption rate of the diesel engine, this paper studies the optimal operating speed of the diesel generator set, and designs the optimal operating speed curve of the diesel generator based on the actual situation. Aiming at the phenomenon that the load changes at any time in the actual working condition of the diesel generator set, this paper designs a fuzzy adaptive PID control algorithm for the diesel engine governor and realizes algorithm optimization. Using MATLAB platform simulation analysis, it is verified that the fuzzy adaptive PID controller after algorithm optimization has better dynamic response and stability performance in diesel generator system.

show abstract

Design of Fractional-Order PID Controller for Fractional-Order System via Flower Pollination Algorithm

Cited by 2 publications

References 14 publications

Comparative Study of Integer- and Fractional-Order PID Controller Tuning for BLDC Motor Speed Using Single- and Multi-Objective Optimization

Comparative Study of Integer- and Fractional-Order PID Controller Tuning for BLDC Motor Speed Using Single- and Multi-Objective Optimization

Speed Control and Optimization of Variable Speed Diesel Generator Set

Contact Info

Product

Resources

About