Optimization of PID control for DC motor based on artificial bee colony algorithm

Liao, Wudai; Hu, Yingyue; Wang, Haiquan

doi:10.1109/icamechs.2014.6911617

Cited by 24 publications

(17 citation statements)

References 7 publications

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“…The integral action it is mainly utilized to eliminate static error and improve the stability of system by removing the offset introduced by the proportional control, but a phase lag is added into the system. Integral term can be mathematically expressed as [7,16] . (13) The derivative control is proportional to the rate of change of the error, where it reflects the change of the deviation signal, introduces a correction signal before the deviation signal value becomes bigger and accelerates the response of the system in order to reduce the setting time.…”

Section: Pid Controllermentioning

confidence: 99%

“…The onlooker bees waiting on the dance area and decide a food source based on the information provided by employed bees. After that the onlooker bees deploy to the food sources within the neighborhood of the food sources that which picked out depended on the probability principle, then apply the greedy selection scheme to update food source position [7,18].…”

Section: Artificial Bee Colony Algorithm(abc)mentioning

confidence: 99%

“…(13) The derivative control is proportional to the rate of change of the error, where it reflects the change of the deviation signal, introduces a correction signal before the deviation signal value becomes bigger and accelerates the response of the system in order to reduce the setting time. So the derivative action is utilized to improve the closed-loop stability, decrease the overshoot or to damp out the oscillations of system response and introduce a phase lead action that removes the phase lag introduced by the integral action [6,7].…”

Section: Pid Controllermentioning

confidence: 99%

“…Swarm Intelligence is defined by Bonabeau as(any trying to design algorithms or distributed problem-solving devices inspired by the collective behavior of social insect colonies and other animal societies...). In general manner the term swarm is utilized to indicate to any restrained collection of individuals or interacting agents [7,18].…”

Section: Artificial Bee Colony Algorithm(abc)mentioning

confidence: 99%

“…The popularity of PID controller is due to the simplicity of their control law, robustness in a wide range of operating conditions and few tuning parameters are needed. [6,7].…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Design of1PID Controller9using ABC9for9Full Vehicle Nonlinear Active Suspension System with Passenger Seat

Aldair¹,

Abdalla²,

Alsaedee³

2017

IJCA

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This paper present a modeling and control of the nonlinear full vehicle active suspension system with passenger seat utilizing PID with artificial bee colony (ABC) algorithm technique. Five PID controllers are used . The main objective of designing the controller is to improve the performance of suspension system , while the aim of suspension system in automobiles is to isolate the road disturbance experienced by the tires from being transmitted to the passengers. The effects of the nonlinear forces which come from damper, spring , actuator and parametric uncertainty in the spring, damper and actuator has been considered, therefore robust control is utilized. The MATLAB environment is utilized to determine the performance of the proposed control scheme. A comparison is performed to illustrate the effectiveness of PID-ABC controller in terms of modifying the ride comfort and the safety of travelling passengers. KeywordsArtificial bee colony algorithm PID control tuning, eight degrees of freedom vehicle model, non linear active suspensions, Matlab/Simulink, simulation.

show abstract

Section: Pid Controllermentioning

confidence: 99%

Section: Artificial Bee Colony Algorithm(abc)mentioning

confidence: 99%

Section: Pid Controllermentioning

confidence: 99%

Section: Artificial Bee Colony Algorithm(abc)mentioning

confidence: 99%

“…The popularity of PID controller is due to the simplicity of their control law, robustness in a wide range of operating conditions and few tuning parameters are needed. [6,7].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Design of1PID Controller9using ABC9for9Full Vehicle Nonlinear Active Suspension System with Passenger Seat

Aldair¹,

Abdalla²,

Alsaedee³

2017

IJCA

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show abstract

Design of Fuzzy Super Twisting Sliding Mode Control Scheme for Unknown Full Vehicle Active Suspension Systems Using an Artificial Bee Colony Optimization Algorithm

Zahra

Abdalla

2020

Asian Journal of Control

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This article proposes a new intelligent control scheme that uses the Fuzzy Super Twisting Sliding Mode Concept (FSTSMC) and PID controller tuned with the Artificial Bee Colony (ABC) algorithm to control a full vehicle active suspension system with new convergence proof. Suspension systems are utilized to provide vehicle safety and improve comfortable driving. The effects of road roughness transmitted by tires to the vehicle body can be reduced by using suspension systems. In this work super twisting sliding mode is combined with a fuzzy system to design a robust control method. The super twisting sliding mode concept is utilized to limit and minimize the chattering problem and the fuzzy system is used for estimating the unknown parameters and uncertainty in the suspension system components (spring, damper, and actuator). The advantage of such combination is that it can handle the uncertainties and nonlinearities efficiently. The PID controller is used to create the

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Tuning of Fuzzy Control Systems by Artificial Bee Colony with Dynamic Parameter Values Algorithm for Traction Power System

Shahbazova

Ekmekci

2023

Studies in Fuzziness and Soft Computing

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Optimization of PID control for DC motor based on artificial bee colony algorithm

Cited by 24 publications

References 7 publications

Design of1PID Controller9using ABC9for9Full Vehicle Nonlinear Active Suspension System with Passenger Seat

Design of1PID Controller9using ABC9for9Full Vehicle Nonlinear Active Suspension System with Passenger Seat

Design of Fuzzy Super Twisting Sliding Mode Control Scheme for Unknown Full Vehicle Active Suspension Systems Using an Artificial Bee Colony Optimization Algorithm

Tuning of Fuzzy Control Systems by Artificial Bee Colony with Dynamic Parameter Values Algorithm for Traction Power System

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