IMC design for unstable processes with time delays

Tan, Wen; Marquez, Horacio J.; Chen, Tongwen

doi:10.1016/s0959-1524(02)00058-6

Cited by 190 publications

(158 citation statements)

References 18 publications

(31 reference statements)

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“…In case of perfect matching between model and process, as well as no disturbance, the system operates as an open loop system which may achieve precise and rapid tracking; whereas, in presence of either mismatch between model and process, or disturbance entrance into the system, it operates as a closed loop system which is able to remove disturbance effects. In our research, the system is a time-delay one; therefore, equivalent structure of Smith predictor together with Internal Model Controller are exploited [6,7].…”

Section: Equivalent Structure For Smith Predictor Controller With Intmentioning

confidence: 99%

IMC based Smith Predictor Design with PI+CI Structure: Control of Delayed MIMO Systems

Shakibjoo

Vasegh

Kani

2016

MATEC Web of Conferences

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Abstract. In this study a novel structure for time-delay MIMO systems controller design is introduced. In this method decoupled Smith predictor (SP) controller is designed using Internal Model Control structure (IMC). In order to approximate decoupled system, step response model approximation is employed and simulated on MIMO multiple time-delay system. Moreover, to improve system performance from overshoot and rise time perspective, Smith predictor controller is combined with PI+CI structure. Furthermore, to increase system robustness, a low pass filter is designed. Afterwards, the proposed structure is applied to the model of a time-delay MIMO distillation tower system and obtained results are compared to those of a PID controller. Finally, performance of different design methods is evaluated using Integral error criterion (Integral Square Error criterion).

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Section: Equivalent Structure For Smith Predictor Controller With Intmentioning

confidence: 99%

IMC based Smith Predictor Design with PI+CI Structure: Control of Delayed MIMO Systems

Shakibjoo

Vasegh

Kani

2016

MATEC Web of Conferences

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“…It can be any controller, depending on the requirements. As a result, an output/reference transfer function M (z) will be obtained: (31) Note that this set-point tracking design is independent of both, the plant delay, d, and the lter parameter, λ.…”

Section: Tuning Design Proceduresmentioning

confidence: 99%

Robust tuning of a generalized predictor-based controller for integrating and unstable systems with long time-delay

Garcia

Albertos

2013

Journal of Process Control

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ElsevierGarcía Gil, PJ.; Albertos Pérez, P. (2013) In this work, a general structure to control long time-delay plants is proposed and an easy methodology to tune the control parameters is outlined. All the sensitivity transfer functions are delay free. The proposed scheme is equivalent to the Smith Predictor but able to cope with any kind of systems, including non-minimum phase, unstable and integrating plants. The controllers are designed based on the delay free model. Contrary to other approaches, other than for the digital implementation, no delay approximation is used. A tuning parameter is provided in order to reach an intuitive tradeo between performance and robust stability. A comparative analysis with respect to recently successful proposals shows a substantial improvement in the performance/robustness tradeo as well as in the tuning process.

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“…Since most of the PID-based methods, are based on the Pade' approximation of the time delay term, they provide poor performance when long time delays are involved (Tan, Marquez and Chen, 2003;Vanavil, Chaitanya and Seshagiri Rao, 2015). Similarly, many methods which are based on the internal model principle, are also based on the Pade' approximation and, therefore, provide acceptable disturbance rejection and reference tracking properties only for rather small time delays (Jin and Liu, 2014;Liu and Gao, 2011;Tan et al, 2003;Vanavil et al, 2015;Zhang, Rieber and Gu, 2008). Considering the well-known drawbacks of the existing methods, the objective of this paper is to provide a simple control structure with straightforward tuning guidelines, in which the closed loop performance and stability are guaranteed.…”

Section: Introductionmentioning

confidence: 99%

Simple Formulae for Control of Industrial Time Delay Systems

Azamfar

Markazi

2016

Lat. Am. j. solids struct.

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Control of time delay integrating systems is a challenging and ongoing research. In this paper a new structure for control of stable and integrating time delay systems is presented. The control design process is as simple as selection of some constant gains, for which simple formulae are introduced. The design methods are derived analytically, while no fractional approximation for the time delay term of the plant transfer function is used. Simulation, as well as, experimental studies reveal the exceptional effectiveness of the proposed methods in achieving a robust and well-performing tracking, even when the plant pure time delay is very large.

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IMC design for unstable processes with time delays

Cited by 190 publications

References 18 publications

IMC based Smith Predictor Design with PI+CI Structure: Control of Delayed MIMO Systems

IMC based Smith Predictor Design with PI+CI Structure: Control of Delayed MIMO Systems

Robust tuning of a generalized predictor-based controller for integrating and unstable systems with long time-delay

Simple Formulae for Control of Industrial Time Delay Systems

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