Design of two degree of freedom PID controller for temperature control system

Deshmukh, Gaurav; Kadu, C.B.

doi:10.1109/icacdot.2016.7877653

Cited by 10 publications

(6 citation statements)

References 5 publications

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“…In any case, the most intriguing cases are the ones that consolidate execution and power, since they look with every one of framework's necessities [12]. The past referred to strategies think about the execution and strength together in the control plan [14] [17]. Be that as it may, nobody treats particularly the execution/strength exchange off issue, nor consider in the definition the servo/direction exchange off or the communicating between these factors.…”

Section: Related Workmentioning

confidence: 99%

Non Linear and Multi Fractional Tuning Method for Autonomous Vehicles

Jerwinprabu¹,

Tuptee²

2019

IJARA

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The mathematical model of mover is determined using a Newton-Euler formulation. This paper deals with the simulation depend on proposed controller of an industrial mover that can overcome this trouble. It is important to notice that these control loop parameters error cannot be eliminated from the interaction system completely. Within these possibilities, the control system's performance and the robustness must be considered as important. The aim is to provide industrial oriented solutions and improve the behavior of a differential control system, with an Auto tuning Proportional-Integral-Derivative (ATPID) controller structure. Fractional Order Proportional Integral Derivative controller tuned by genetic algorithm, it is investigated to control and stabilize the position and attitude of control system using feedback linearization. This controller is used as a reference to compare its results with Proportional Integral Derivative (PID) controller tuned by gain margin. The control structure performance is evaluated through the response and minimizing the error of the position and attitude. Simulation results, demonstrates that position and attitude control using auto PID has fast response, better steady state error and measurement error than PID. By simulation the two controllers are tested under the same conditions using Simulink under Matlab programming.

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Section: Related Workmentioning

confidence: 99%

Non Linear and Multi Fractional Tuning Method for Autonomous Vehicles

Jerwinprabu¹,

Tuptee²

2019

IJARA

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“…In any case, the most intriguing cases are the ones that consolidate execution and power, since they look with every one of framework's necessities (Narmadha J and Prabu AJ [12]). The past referred to strategies think about the execution and strength together in the control plan [14,17]. Be that as it may, nobody treats particularly the execution/strength exchange off issue, nor consider in the definition the servo/direction exchange off or the communicating between these factors.…”

Section: Related Workmentioning

confidence: 99%

Combined System and Performance Trade-Off Autotuning for PID Controllers

A¹,

Tupate²,

Jenifer³

et al. 2018

IJARA

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Control system has been widely used in various fields. The angle error and turning angles are the main factors that affect the accuracy performance of the interfacing system. It is important to notice that these control loop parameters error cannot be eliminated from the interaction system completely. Within these possibilities, the control system's performance and the robustness must be considered as important. The aim is to provide solutions and improve the general behavior of a control system, with a Single-Degree-of-Freedom (1DoF) Proportional-Integral-Derivative (PID) controller structure. Even after calibration, these errors still exist and will be fluctuated during the operating system running. This paper proposed a new method of finding the best position and orientation for turning to perform a specific working path based on the current accuracy capacity of the control loop system. By analyzing the system forward/inverse kinematics and the angle error sensitivity of different combination in the PID system, a new evaluation formulation is established for combined operation and performance trade-off autotuning methods for PID controllers. The accomplishment of the claimed robustness is checked. The influence of different position and orientation on the movement accuracy of the end effector has been verified by experiments and discussed thoroughly.

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“…[8][9][10][11][12][13] Two Degree of Freedom PID controllers add setpoint weights for the proportional and derivative term of the algorithm to ensure that the effect of the disturbance is quickly eliminated while suppressing overshoot when tracking the setpoint. 8,9 The degree of freedom of a controller is defined as the number of closed-loop transfer functions that can be tuned independently, [14][15][16][17][18] which provides additional options for tuning the controller regarding change of setpoint or disturbance value.…”

Section: Introductionmentioning

confidence: 99%

The PID and 2DOF control of the integral system - influence of the 2DOF parameters and practical implementation

Guráš

Strambersky

Mahdal

2022

Measurement and Control

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The article deals with the issue of using the Two Degree of Freedom (2DOF) PID controller to control an integral system and investigates by the simulation and experimental measurement what influence it has on the course of the control process compared to standard PID controller. The controlled plant is represented by the DC electric motor with worm gear and its output shaft rotation angle. The article studies the effect of the added parameters of the 2DOF controller on the dynamics of the closed-loop control. The influence of these parameters is then evaluated using the quality of feedback control criteria ITAE. The paper studies how the overshoot of the controlled variable during the setpoint step is eliminated using 2DOF control theory. The overshoot is caused due to an aggressive tuning of the controller to eliminate the disturbance effect on the controlled variable of the integral plants with dead zones.

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Design of two degree of freedom PID controller for temperature control system

Cited by 10 publications

References 5 publications

Non Linear and Multi Fractional Tuning Method for Autonomous Vehicles

Non Linear and Multi Fractional Tuning Method for Autonomous Vehicles

Combined System and Performance Trade-Off Autotuning for PID Controllers

The PID and 2DOF control of the integral system - influence of the 2DOF parameters and practical implementation

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