Optimal Controller Design for a DC Motor using PID Tuner

Yadav, Vaishali; Tayal, Vijay Kumar

doi:10.1109/peeic.2018.8665658

Cited by 14 publications

(10 citation statements)

References 9 publications

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“…In the area of ball and beam research, PID controller is a mainstream. If the gains were properly tuned, PID can stabilize the ball at the desired position [5][6][7][8][9][10]. Others had also investigated the PD [11] and fractional-order PD [12] controller performance where I effect is neglected in the double pole system such as the ball and beam to improve its stability margin.…”

Section: Literature Reviewsmentioning

confidence: 99%

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Design and Evaluation of Self-Tuning Fuzzy PID Controller with Reference Model for Ball and Beam Mechanism

Tajjudin¹,

Pezol²,

Rahiman³

2022

IJETAE

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—Fuzzy Logic controller is one of the popular techniques in control system. However, the accuracy depends on numbers and the design of membership functions. Further, the output does not always fulfill specific design requirements. In this study, Fuzzy PID controller with first-order reference model had been designed and evaluated. The proposed new structure is able to guide fuzzy mechanism to produce desired output response as specified by the first-order model such as the time constant, rise time and settling time. The study was implemented on a ball and beam system to control the position of the ball while rolling on a beam. The control of a ball and beam system is challenging because it is an open-loop unstable system as the ball will continuously moves on the beam without control. The study also compares the results acquired from Fuzzy PID and Fuzzy PI plus PD against the proposed Fuzzy PID with first-order reference model controller. The evaluation covers for a pole starting from 0 until 1.0 for the first-order model. As a results, the proposed controller is able to produce an output response as specified where the fastest response was acquired when pole is set to 0.9. Whereas the Fuzzy PID and Fuzzy PI plus PD always produce the same transient response during step input test.

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Section: Literature Reviewsmentioning

confidence: 99%

“…In this paper, we evaluated first-order transfer function as a reference model to the ball and beam system. A general first-order transfer function is given by (7) where the time constant, τ = 1/a. (7) Thus, by adjusting the value of a, the time constant of a response can be adjusted as desired.…”

Section: Fuzzy Pid With Reference Modelmentioning

confidence: 99%

Design and Evaluation of Self-Tuning Fuzzy PID Controller with Reference Model for Ball and Beam Mechanism

Tajjudin¹,

Pezol²,

Rahiman³

2022

IJETAE

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“…Today many industrial controllers are used PID controllers because of their simplicity, on-site adjusted, and wide range of applicability, although in some situations, PID controllers may not provide the required optimal control. Control modules in all three terms (P, I, and D) are immensely utilized in industrial systems [16]. The transfer function of the PID controller can be described as in Eq.…”

Section: B Pid Controllermentioning

confidence: 99%

“…Variable control is usually based on the errors between specific user-defined points and certain operations measured on variables. However, the PID controller cannot be set in this way because the best response of a control system is achieved by different immobility, loads, and reference speeds [16].…”

Section: Introductionmentioning

confidence: 99%

Robust Approach of Optimal Control for DC Motor in Robotic Arm System using Matlab Environment

Al-khazarji

Abdulsada

Abduljabbar

2020

Int. J. Adv. Sci. Eng. Inf. Technol.

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Modern automation robotics have replaced many human workers in industrial factories around the globe. The robotic arms are used for several manufacturing applications, and their responses required optimal control. In this paper, a robust approach of optimal position control for a DC motor in the robotic arm system is proposed. The general component of the automation system is first introduced. The mathematical model and the corresponding transfer functions of a DC motor in the robotic arm system are presented. The investigations of using DC motor in the robotic arm system without controller lead to poor system performance. Therefore, the analysis and design of a Proportional plus Integration plus Divertive (PID) controller is illustrated. The tuning procedure of the PID controller gains is discussed to achieve the best responses of the DC motor. It is found that with the PID controller, the system performance is enhanced, especially in terms of steady-state error but does not provide the required optimal control. The required approach of Ackerman's formula optimal controller based on state-space feedback is investigated. A GUI using the Matlab environment is created to obtain the DC motor's responses without using a controller and with controllers. It is found that the proposed approach of the optimal controller has more robustness and enhances the overall performance of the existing PID controller in the form of reducing settling times (from 2.23 second to 0.776 seconds), minimizing percent overshoot (from 27.7 % to 1.31 %) and zero value of steady-state error.

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“…Direct Current (DC) motors play an important role in vehicles [1][2], robotics [3][4] [5], aircraft [6], and industrial [7][8] [9]. The common controller used in DC motor is Proportional Integral Derivative (PID) Controller [10].…”

Section: Introductionmentioning

confidence: 99%

Simulation and Arduino Hardware Implementation of DC Motor Control Using Sliding Mode Controller

Ma’arif

Çakan

2021

jrc

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The research proposed an alternative controller to control the Direct Current (DC) Motor using a sliding mode controller (SMC) in Matlab Simulink simulation and Arduino hardware implementation. The proposed controller, SMC, was designed using the system model (equivalent control) and Lyapunov control design (also to prove the stability). The sliding mode controller had a better response than PID Controller, with no overshoot response in the simulation result. In the Arduino hardware implementation result, the augmented system could reach the reference but has an oscillation and chattering effect in the control signal. The chattering could be reduced by modifying the switching control. Comparing with PID, SMC had a better response with no overshoot. Thus, the SMC could be used as an alternative controller for the DC Motor.

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Optimal Controller Design for a DC Motor using PID Tuner

Cited by 14 publications

References 9 publications

Design and Evaluation of Self-Tuning Fuzzy PID Controller with Reference Model for Ball and Beam Mechanism

Design and Evaluation of Self-Tuning Fuzzy PID Controller with Reference Model for Ball and Beam Mechanism

Robust Approach of Optimal Control for DC Motor in Robotic Arm System using Matlab Environment

Simulation and Arduino Hardware Implementation of DC Motor Control Using Sliding Mode Controller

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