Parameter Solving of DC Servo Motor PID Controller Based on Improved Firefly Algorithm

He, Shangyang; Chen, Zhenyu; Gao, Xiaoyu

doi:10.1109/icrae.2018.8586756

Cited by 4 publications

(4 citation statements)

References 8 publications

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“…Following is every now and again connected with servomechanism applications demanding high accuracy in rotor situating (Barambones and Etxebarria, 1999). Automation plays a very vital role in our everyday life, it can be established in practically any robotic manipulator and electronic appliance we use in day-to-day life, starting from air conditioning systems, automatic doors and automotive battery-operated vehicle control systems to additional innovative machinery system such as robotic arms and thousands of industrial, scientific and research applications (He et al, 2018.). Presented This paper underwrites modeling and investigation of governing of DC servo motor with PID controller and SMC (Choudhary et al, 2018).…”

Section: Introductionmentioning

confidence: 99%

RETRACTED: Assessment of Position Control of DC Servomotors with PID and Sliding Mode Control Approach

Suman¹,

Kumar²

2019

Journal of Mechatronics and Robotics

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A position control of a discussion of DC servomotors is addressed in this article via a novel adaptive PID with sliding mode control approach. In this works to introduce the exact type of power control by sliding mode control for position and speed control of DC servo motor. The paper contributes union and examination of DC servo motor with sliding mode controller and a regular PID controller. This procedure has done through the demonstrating and reproductions are done and their performing is evaluated as in consistent and in addition in a transient state. Thusly, the DC servo motor position drive is dubious to parameter grouping and load disturbing effect, a liberal control approach in light of sliding mode. The proposed approach has the additionally favored standpoint that, for outside unsettling influence, it just requires a bound to exist, without having to know the extent of this bound. The proposed controller is connected to control a model of unverifiable acceptance servomotor subject to huge unsettling influences and a model of DC servomotor with obscure parameters and vulnerability in load condition. In this article, the helpfulness of the anticipated Procedure is approved by performing simulations utilizing MATLAB device. The reproduction comes about an exhibit that the part of the sliding mode-based course of action is supplementary strong than robust than fixed gain PID controller.

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Section: Introductionmentioning

confidence: 99%

RETRACTED: Assessment of Position Control of DC Servomotors with PID and Sliding Mode Control Approach

Suman¹,

Kumar²

2019

Journal of Mechatronics and Robotics

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show abstract

“…The same state space analysis discussed in the previous section will be repeated with discrete time domain and more details. For straightforwardness, we start our examination by accepting that the basic plant is a solitary information and single-yield framework, depicted by [22]:…”

Section: Discrete-time Mpc State Space Analysismentioning

confidence: 99%

Design and Implementation of Model Predictive Controller

Saleh¹,

Salim²

2022

(AREJ)

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The precise position control of a DC servo motor is a major concern in today's control theory. This work presents position following and forecast of DC servo engine utilizing an alternate control technique. Control technique is required to limit and diminish the consistent state error. A model predictive controller MPC is utilized to plan and actualize these prerequisites. Two sorts of controlling techniques are presented in this task. The Active Set Method (ASM), the inside point technique (IIP), and have been utilized as controlling strategies. This work distinguishes and depicts the plan decisions identified with a two sorts of controllers and judicious regulator for a DC servo motor. Execution of these regulators has been confirmed through reproduction utilizing MATLAB/SIMULINK programming. As indicated by the recreation results the Comparisons among ASM, IIP. The tuning strategy was increasingly proficient in improving the progression reaction attributes, for example, decreasing the rise time, settling time and most prominent overshoot in Position control of DC servo motor.

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“…Despite all these advantages, it has drawbacks such as the problem of local minima and it was unable to guarantee a balance between exploration and exploitation [2,23]. Therefore, several improvement algorithms have been proposed to overcome such drawbacks which make them more widely applied successfully in engineering like optimizing Proportional Integral Derivative (PID) parameters in machine control [24][25][26][27][28].…”

Section: Introductionmentioning

confidence: 99%

“…Conventional control methods cannot resist these alterations and lose their precision. Thus, it was necessary to implement advanced control techniques to solve this problem, especially those based on the artificial intelligence, such as: fuzzy control [32,33], neural control [34,35], Genetic Algorithm (GA) control [36,37], PSO control [38], BAT control [31] and recently, FA control and Improved Firefly Algorithm (IFA) or Modified Firefly Algorithm (MFA) [24][25][26][27][28]. These methods are based essentially on the optimization of the PID corrector parameters and its derivatives to obtain optimal performance.…”

Section: Introductionmentioning

confidence: 99%

A Fast Firefly Algorithm for Function Optimization: Application to the Control of BLDC Motor

Bazi

Benzid

Bazi

et al. 2021

Sensors

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Firefly Algorithm (FA) is a recent swarm intelligence first introduced by X.S. Yang in 2008. It has been widely used to solve several optimization problems. Since then, many research works were elaborated presenting modified versions intending to improve performances of the standard one. Consequently, this article aims to present an accelerated variant compared to the original Algorithm. Through the resolving of some benchmark functions to reach optimal solution, obtained results demonstrate the superiority of the suggested alternative, so-called Fast Firefly Algorithm (FFA), when faced with those of the standard FA in term of convergence fastness to the global solution according to an almost similar precision. Additionally, a successful application for the control of a brushless direct current electric motor (BLDC) motor by optimization of the Proportional Integral (PI) regulator parameters is given. These parameters are optimized by the FFA, FA, GA, PSO and ABC algorithms using the IAE, ISE, ITAE and ISTE performance criteria.

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Parameter Solving of DC Servo Motor PID Controller Based on Improved Firefly Algorithm

Cited by 4 publications

References 8 publications

RETRACTED: Assessment of Position Control of DC Servomotors with PID and Sliding Mode Control Approach

RETRACTED: Assessment of Position Control of DC Servomotors with PID and Sliding Mode Control Approach

Design and Implementation of Model Predictive Controller

A Fast Firefly Algorithm for Function Optimization: Application to the Control of BLDC Motor

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