Optimal reference processing in two-degrees-of-freedom control

Vilanova, Ramón; Serra, I.; Pedret, Carles; Moreno, R.

doi:10.1049/iet-cta:20060478

Cited by 10 publications

(7 citation statements)

References 8 publications

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“…According to equation (16), where the generalized controlled process or the generalized model is obtained after C 3 (s) controls the unstable process, the controller C 2 (s) can be designed so long as the closed-loop transfer function between the output and disturbance in the process is known.…”

Section: Feedback Disturbance Suppression Controllermentioning

confidence: 99%

“…13 To guarantee stable operation and sustainable controlled performance of unstable processes with 1 Information and Control Institute, Hangzhou Dianzi University, Hangzhou, P.R. China 2 time delays, the idea of 2-degree-of-freedom PID control is proposed and promoted [14][15][16] and put into practice. In recent years, many scholars have put forward 2degree-of-freedom-based modified control methods one after another.…”

Section: Introductionmentioning

confidence: 99%

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Design of modified 2-degree-of-freedom proportional–integral–derivative controller for unstable processes

Zhang

Zou

et al. 2020

Measurement and Control

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Concerning first-order unstable processes with time delays that are typical in chemical processes, a modified 2-degree-of-freedom proportional–integral–derivative control method is put forward. The system presents a two-loop structure: inner loop and outer loop. The inner loop is in a classical feedback control structure with a proportional controller intended for implementing stable control of the unstable process; the outer loop is in a 2-degree-of-freedom structure with feedforward control of set points, where the system’s tracking response of set points is separated from its disturbance response. To be specific, the system has a feedforward controller that is designed based on the controlled object models and mainly used for regulating the system’s set point tracking characteristics; besides, it has a feedback controller that is designed on the ground of direct synthesis of disturbance suppression characteristics to improve the system’s disturbance rejection. To verify the effectiveness, the system is put into a theoretical analysis and simulated comparison with other methods. Simulation results show that the system has good set point tracking characteristics and disturbance suppression characteristics.

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Section: Feedback Disturbance Suppression Controllermentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design of modified 2-degree-of-freedom proportional–integral–derivative controller for unstable processes

Zhang

Zou

et al. 2020

Measurement and Control

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“…This type of controller is a structure with two freedom degrees and compared to a one degree of freedom structure, it has the main advantage that it allows the designer to specify performances independently with reference trajectory tracking (reference variation) and with regulation ( Fig 6). A systematic analysis of the advantages brought by the two degrees of freedom controllers can be found in [6]. The poles placement with shaping of sensitivity functions is a general methodology of digital control design that allows one to take into account simultaneously robustness and performances specifications for the closed loop of the system.…”

Section: Rst Polynomial Control For the Full-load Area Of A Wind Turbinementioning

confidence: 99%

Robust control for wind power systems

Pintea

Popescu

Borne

2010

18th Mediterranean Conference on Control and Automation, MED'10

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This paper presents an RST controller design applied to a horizontal wind turbine, functioning in the above rated wind speeds area. The controller presented here, is a robust digital controller which aims to regulate the wind turbine rotor speed through collective blade pitch control. The paper starts with a state of the art of wind turbines and their problematic and continues with the design of the controller. The robustness of the controller will be shown through the robustness indicators values and also will be tested through the variation of the model's parameters. This control method provided a good response by eliminating the steady state error after a step input and has shown good robustness indicator values.

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“…This trade-off is better tackled within a 2-DoF framework. Despite several advanced procedures do exists in literature; see for example the works on [16][17][18] for 2-DoF controller design on a general set-ting, however it is sometimes desirable to keep the design of both degrees of freedom separated and with as much independence as possible. It is in this sense that we propose to add a second degree of freedom for designing a 2-DoF controller.…”

Section: Introductionmentioning

confidence: 99%

Multivariable decoupling set-point approach applied to a wastewater treatment plant

Vilanova

Arrieta

2016

MATEC Web Conf.

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This paper presents a formulation for the inclusion of the second degree of freedom for MIMO system for decoupling purposes. The proposal is specially effective when combined with decentralized feedback controllers. Loop interaction is of the major problems in the control of MIMO systems, as interaction can be considered as a disturbance coming from all other loops, the design of the decentralized feedback controller is better understood as a disturbance rejection design. In this approach the set-point tracking capabilities may be not as good as expected. The proposed Two-Degree-of-Freedom (2-DoF) formulation provides a complement to the existing controller that can be automatically determined in terms of the available process and feedback controller information.

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Optimal reference processing in two-degrees-of-freedom control

Cited by 10 publications

References 8 publications

Design of modified 2-degree-of-freedom proportional–integral–derivative controller for unstable processes

Design of modified 2-degree-of-freedom proportional–integral–derivative controller for unstable processes

Robust control for wind power systems

Multivariable decoupling set-point approach applied to a wastewater treatment plant

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