IMC based feedforward controller framework for disturbance attenuation on uncertain systems

Vilanova, Ramón; Arrieta, O.; Ponsa, Pere

doi:10.1016/j.isatra.2009.05.007

Cited by 39 publications

(22 citation statements)

References 14 publications

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“…As it will be seen the resulting overall MIMO controller consists of the same number of elements as that of MIMO controller but distributed along the feedback, prefilter and feedforward terms. Assuming the feedback part is already in place, the determination of the complementary prefilter/feedforward terms will be done by borrowing some recent results on Internal Model Control (IMC) based feedforward control ( [23].…”

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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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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“…So far, limited work has been reported in the literature, which addresses the design methods for the non-ideal feedforward controllers. Some existing designs of nonideal feedforward controllers are found in [6][7][8][9].…”

Section: Introductionmentioning

confidence: 99%

“…The goal of this feedforward controller design is to obtain a load disturbance response without overshoot and which leads to a minimum Integral Absolute Error (IAE) value. In [9], an IMC-based feedforward controller design for disturbance rejection was proposed. This method takes into account the plant uncertainty into the feedforward controller design, which is applicable to both stable and unstable plants.…”

Section: Introductionmentioning

confidence: 99%

A unified design for feedback-feedforward control system to improve regulatory control performance

Nandong

2014

Int. J. Control Autom. Syst.

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The PID controller is widely used in industries because of its simplicity and robustness. A simple approach to improve regulatory control performance is to combine both feedback PID and feedforward controllers. The feedforward controller enables early compensation of a measured disturbance before it can seriously affect the process. The conventionally derived non-ideal feedforward controllers are not often used in practice. The reason is that an ideal feedforward controller based on direct inversion of process model is often not physically realizable. Several non-ideal feedforward control designs have been proposed where some of them involve rather intensive tuning procedure to obtain good disturbance rejection. In this paper, we present a new systematic method for designing a combined feedback-feedforward control system. The proposed design method is easy to use and applicable to stable, unstable and integrating deadtime processes where the ideal feedforward controller is physically not realizable.

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“…The structure has similarities with Internal Model Control, IMC, see [6]. Robust feedforward design within the IMC framework was addressed by [17]. The method of subtracting the feedforward response from the controller input is common when improving system response from reference signals, cf.…”

Section: Introductionmentioning

confidence: 99%

Low-order feedforward controllers: Optimal performance and practical considerations

Hast

Hägglund

2014

Journal of Process Control

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Feedforward control from measurable disturbances can significantly improve the performance in control loops. However, tuning rules for such controllers are scarce. In this paper design rules for how to choose optimal low-order feedforward controller parameter are presented. The parameters are chosen so that the integrated squared error, when the system is subject to a step disturbance, is minimized. The approach utilizes a controller structure that decouples the feedforward and the feedback controller. The optimal controller can suffer from undesirable high-frequency noise characteristics and tuning methods for how to filter the control signal are also provided. For scenarios where perfect disturbance attenuation in theory is achievable but where noise-filtering is needed, the concept of precompensation is introduced as a way to shift the controller time-delay to compensate for the low-pass filtering.

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IMC based feedforward controller framework for disturbance attenuation on uncertain systems

Cited by 39 publications

References 14 publications

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

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

A unified design for feedback-feedforward control system to improve regulatory control performance

Low-order feedforward controllers: Optimal performance and practical considerations

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