A New Tuning Method for Two-Degree-of-Freedom Internal Model Control under Parametric Uncertainty

Juwari, Juwari; Aziz, Badhrulhisham Abdul; Yee, Chin Sim; Mamat, Rosbi

doi:10.1016/s1004-9541(13)60564-9

Cited by 12 publications

(4 citation statements)

References 22 publications

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“…In the actual servo system, there are no ideal parameters such as parameter perturbation, load disturbance, friction and so on [9]. Therefore, the frequency domain method of the PI controller parameters cannot make the servo system to achieve the best state, and it needs further optimization [10].…”

Section: Select Objective Functionmentioning

confidence: 99%

Self-tuning of Controller Parameters of Servo System based on Variable Step Size Iteration Method

Wang¹

2016

Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science

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Section: Select Objective Functionmentioning

confidence: 99%

Self-tuning of Controller Parameters of Servo System based on Variable Step Size Iteration Method

Wang¹

2016

Proceedings of the 2016 5th International Conference on Advanced Materials and Computer Science

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“…This means that it is very difficult to achieve stable and robust control simultaneously between set-point tracking and load-disturbance rejection. Sutikno et al (2013) developed a 2DoF IMC with the Mp-GM (Maximum peak -Gain Margin) tuning method to obtain IMC control parameters. 2DoF IMC can overcome set-point tracking and load-disturbance rejection separately, without affecting each other.…”

Section: Introductionmentioning

confidence: 99%

Inverted Decoupling 2DoF Internal Model Control for Mimo Processes

Juwari¹,

Azizah²,

Handogo³

et al. 2019

IJTech

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In general, the multiple-input-multiple-output (MIMO) system is the main method of process control in industry. However, the interaction between variables in the process is a challenge when designing controllers for the system. Strong interaction worsens system performance. Inverted decoupling plays an important role in reducing interaction in the process. Internal model control (IMC) is the controller used in this research. A one degree of freedom (1DoF) IMC controller is only able to provide a good response to set-point tracking, and has a slow response to disturbance rejection. Therefore, a controller that has a good response to set-point tracking and disturbance rejection is a two degrees of freedom (2DoF) IMC. The tuning method uses maximum peak gain margin (Mp-GM) stability criteria based on the uncertainty model. In this study, a reduction in interaction was realized by the addition of inverted decoupling to the 2DoF IMC control scheme. The Wardle & Wood and Wood & Berry column distillation models are given as illustrative examples to demonstrate the performance of the inverted decoupling 2DoF IMC control scheme. A comparison is made of the IAE values of 1DoF IMC, 2DoF IMC, decoupling 2DoF IMC, and inverted decoupling 2DoF IMC, with inverted decoupling 2DoF IMC showing the lowest IAE value.

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“…Because the design of the control system can be seen as a multi-objective optimization [4], and because there is a trade-off between the setpoint response and the load disturbance attenuation in the 1-DOF PID structure [5,6], the 2-DOF PID structure was proposed [7]. Due to its superiority, the 2-DOF PID has drawn great attention from many researchers, and a great number of tuning methods have been proposed, such as the dominant poles method [8,9], the internal model control (IMC) [10][11][12], the gain-phase margin method (GPM) [13], the maximum sensitivity method [14,15], the desired dynamic equation method (DDE) [16][17][18], etc.…”

Section: Introductionmentioning

confidence: 99%

An Approach for Setting Parameters for Two-Degree-of-Freedom PID Controllers

Wang

Yan

et al. 2018

Algorithms

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In this paper, a new tuning method is proposed, based on the desired dynamics equation (DDE) and the generalized frequency method (GFM), for a two-degree-of-freedom proportional-integral-derivative (PID) controller. The DDE method builds a quantitative relationship between the performance and the two-degree-of-freedom PID controller parameters and guarantees the desired dynamic, but it cannot guarantee the stability margin. So, we have developed the proposed tuning method, which guarantees not only the desired dynamic but also the stability margin. Based on the DDE and the GFM, several simple formulas are deduced to calculate directly the controller parameters. In addition, it performs almost no overshooting setpoint response. Compared with Panagopoulos' method, the proposed methodology is proven to be effective.

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A New Tuning Method for Two-Degree-of-Freedom Internal Model Control under Parametric Uncertainty

Cited by 12 publications

References 22 publications

Self-tuning of Controller Parameters of Servo System based on Variable Step Size Iteration Method

Self-tuning of Controller Parameters of Servo System based on Variable Step Size Iteration Method

Inverted Decoupling 2DoF Internal Model Control for Mimo Processes

An Approach for Setting Parameters for Two-Degree-of-Freedom PID Controllers

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