The 2DOF controller implementation in control system with single-chip computer

Sladka, Karla; Czebe, Jiri; Wagnerova, Renata

doi:10.1109/carpathiancc.2018.8399633

Cited by 3 publications

(5 citation statements)

References 9 publications

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“…Also, this transfer function is not affected by the 2DOF parameters b and c. The 2DOF PID controller used for the experimental verification in this paper is done by single chip computer implementation. 31…”

Section: Theory Of the 2dof Pid Controllermentioning

confidence: 99%

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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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Section: Theory Of the 2dof Pid Controllermentioning

confidence: 99%

“…The 2DOF PID controller used for the experimental verification in this paper is done by single chip computer implementation. 31…”

Section: Theory Of the 2dof Pid Controllermentioning

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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“…Consider a stable linear time-invariant (LTI) and single-input single-ouput (SISO) plant with unknown dynamic structure in controllable canonical state-space form (1), which can be compactly represented as P (s), as shown, in Figure 1.…”

Section: Critic Pid Controllermentioning

confidence: 99%

“…The parallel critic 2DOF PID structure defined above has two inherent closed loop transfer functions available in its structure using respective proportional and derivative set-point limiters or weights b and c ∈ [0, 1] ∈ R + [1,3,10,[42][43][44]. The structure reduces to the common 1DOF error-feedback PID structure when the set-point weights are both unity.…”

Section: Critic Pid Controllermentioning

confidence: 99%

“…A generalized form of the proportional integral derivative PID structure, often referred to as the two degree-of-freedom (2DOF)-PID [1][2][3][4][5][6][7] fully captures the PID controller in a statefeedback plus integral form. In this paper, we introduce a 2DOF-PID controller design method, called "optimal closed PID-loop model predictive control" (OCPID-LMPC), for the intelligent speed control of a dc motor.…”

Section: Introductionmentioning

confidence: 99%

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Speed Control of DC Motors: Optimal Closed PID-Loop Model Predictive Control

Somefun¹,

Akingbade²,

Dahunsi³

2020

ujca

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One of the lowest level control tasks, especially in robotics and other manufacturing industries, upon which other high-level controls are dependent, is the speed control of a dc motor. Usually, tuning the parameters of the proportional integral derivative (PID) controller for this task employs established conventional methods that expose the knowledge of nominal process model parameters to the control algorithm. These methods have found widespread use. Notwithstanding, a promising line of inquiry is: to search alternate possibilities of a PID being designed to automatically achieve comparable good control performance without using a formal mathematical process model approximation of the actual physical system, such as dc motor plant, in the frequency or time domain. In this paper, we propose an intelligent PID design method, "optimal closed PID-loop model predictive control", that answers this question using the characteristic settling-time (including delay-time) property of dynamic processes. The performance of this proposed method is benchmarked with popular process-model based methods. Simulation results illustrate the promise and effectiveness of the proposed tuning method, in ensuring good closed-loop performance quality for the dc motor, without using formal process models.

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