Utilizing of Flower Pollination Algorithm for Brushless DC Motor Speed Controller

Mahmud, Md. Zobair Al; Motakabber, S. M. A.; Alam, A. H. M. Zahirul; Nordin, Anis Nurashikin

doi:10.1109/etcce51779.2020.9350866

Cited by 8 publications

(5 citation statements)

References 7 publications

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“…Electric vehicles are faster to meet the demands of drivers. [38][39][40][41] It can be seen from the analysis that under the control of the KW-WOA-PID, the response time for the speed is faster, and the driving motor can reach the target speed in a shorter time under the working conditions of low speeds, middle speeds, and high speeds. Moreover, the stability is higher than those of motors controlled by other algorithms.…”

Section: Testing Results and Analysismentioning

confidence: 99%

In-wheel motor control system used by four-wheel drive electric vehicle based on whale optimization algorithm-proportional–integral–derivative control

Zhai

Ping

Zhang

et al. 2022

Advances in Mechanical Engineering

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Aiming to more accurately control the wheel speed of an electric vehicle (EV) driven by four in-wheel motors, a developed whale optimization algorithm-proportional–integral–derivative (KW-WOA-PID) control algorithm is proposed herein. In this study, mathematical and simulation models are built for EVs by analyzing the mechanical structures of EVs driven by four in-wheel motors. Simulations are conducted, and the driving and control requirements for the in-wheel motors are obtained. Then, mathematical and simulation models are built for a specific in-wheel motor. The whale optimization algorithm (WOA) is optimized by kent mapping and the adaptive weight coefficient to improve the ability of the algorithm to jump out of the local optimum and the convergence speed and convergence accuracy of WOA. Then the further simulations are conducted. The simulation results display that the maximum overshoot and adjustment time of the motor under KW-WOA-PID control are significantly optimized. Then, a speed-control bench test system is built for the in-wheel motor, and real-life experiments were conducted. The experimental results verify that KW-WOA-PID has higher control accuracy and a better response performance; accordingly, the developed control algorithm can meet driving requirements. The handling stability of EVs is effectively improved by controlling the motor speed.

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Section: Testing Results and Analysismentioning

confidence: 99%

In-wheel motor control system used by four-wheel drive electric vehicle based on whale optimization algorithm-proportional–integral–derivative control

Zhai

Ping

Zhang

et al. 2022

Advances in Mechanical Engineering

View full text Add to dashboard Cite

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“…Modified flower pollination algorithm DC motor control 27 Ferroreonanace mitigation in wing energy systems 28 Connecting FC to the grid 9 Harmony Search (HS) DC motor control 29 Integrating FC into the electrical utility 9 Electromagnetic Field Optimization Integrating FC into the electrical utility 19 Gray wolf MPPT of wind systems 30 Cuckoo Search Control of DVR 31 MPPT of PV systems 32 Elephant herding algorithm Superconductor control for DFIG in wind applications LVRT support of wind systems 11…”

Section: Optimization Technique Applicationmentioning

confidence: 99%

DC motor control using model reference adaptive control

Mosaad¹

2023

Yanbu Journal of Engineering and Science

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Despite having higher maintenance costs than AC motors, DC motors had been widely employed in the industry due to their outstanding speed control capabilities. This employment increased due to the DC output of some renewable sources recently. This article introduces the speed control of DC motors using model reference adaptive control (MRAC). This control is achieved through regulating the armature voltage at different load changes. A comparison between the proposed adaptive controller and optimized PI controller using the elephant herding optimization (EHO) is presented. The PI controller parameters were optimality adjusted to minimize the integral absolute error, minimum overshoot, and minimum settling time. Computer simulations show that the suggested MRAC is preferable to a traditional optimized PI controller. In addition, the proposed controller is effective in regulating the DC motor over a broad range of operating speeds.

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“…Work is underway to reach an appropriate design by obtaining the best values for the parameters of the traditional PID controller based on FPA technology and as an application we adopt the Internet and the TCP/AQM system to solve the congestion problem. This technique works to improve performance according to an algorithm inspired by the environment that matches two types of pollination of the two plants, which are flowers with self-pollination and another mutual, and to obtain optimal reproduction [49][50][51][52][53][54][55]. Optimal Design of PID controller for an TCP/AQM using flower pollination algorithm shown in Fig.…”

Section: IImentioning

confidence: 99%

Flower Pollination Algorithm to Tune PID Controller of TCP/AQM Wireless Networks

Eissa¹,

Shneen²,

Ali³

2023

Journal of Robotics and Control

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The current study aims to conduct a simulation that is useful in developing an appropriate design that addresses the problem of congestion in the Internet network through controlling the queue of the router. The simulation is conducted through the proposed model for simulation with different control systems that help in raising the quality of performance such as traditional Proportional Integral Derivative (PID) and advanced optimal by Flower Pollination Algorithm (FPA). It depends for Transmission Control Protocol/ Active Queue Management( TCP/AQM )simulation model for a linear system and another non-linear system. To adjust the network work and raise the level of performance, different control systems were chosen, taking into account all the things that appear through conducting experiments and for different purposes. One of the most important things that must be taken into consideration is the system disturbances as a result of the volume and values of the data, causing congestion . It was shown through the results of the experiments that were conducted considering the cases of the linear and nonlinear system to pass data traffic in the network and by adopting the different techniques of the control units, the preference of optimizasion systems over the traditional ones, as well as the preference of the traditional over without control in close loop, is the improvement of the performance of linear systems compared to the open and closed system without control. The simulation results showed that very clear the superiority of the optimization by FPA-PID controller over the conventional system (PID) , as well as very clear the superiority of the traditional system (PID)over closed system without control and open loop system.

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Utilizing of Flower Pollination Algorithm for Brushless DC Motor Speed Controller

Cited by 8 publications

References 7 publications

In-wheel motor control system used by four-wheel drive electric vehicle based on whale optimization algorithm-proportional–integral–derivative control

In-wheel motor control system used by four-wheel drive electric vehicle based on whale optimization algorithm-proportional–integral–derivative control

DC motor control using model reference adaptive control

Flower Pollination Algorithm to Tune PID Controller of TCP/AQM Wireless Networks

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