Advances in internal model control technique: A review and future prospects

Saxena, Sahaj; Hote, Yogesh V.

doi:10.4103/0256-4602.105001

Cited by 111 publications

(44 citation statements)

References 74 publications

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“…Afterwards, there came a trend for almost a decade where IMC-PID tuning issues were investigated by different researchers in different aspects, like disturbance rejection of lag dominated systems, H ∞ based optimization, approximating the IMC controller into PID form, design scheme based on specific gain and phase margins, maximum sensitivity functions, tuning rules, etc [14]- [17]. After the brief survey of IMC design scheme, it is found that the existing methods for IMC-PID tuning are mainly employed on first/second-order plus dead time processes [18].…”

Section: Introductionmentioning

confidence: 99%

Dimensionality reduction based IMC-PI tuning for DC servomotor

Saxena

Hote

2016

2016 Indian Control Conference (ICC)

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In this paper, an internal model control (IMC) based proportional integral (PI) controller is designed for DC servomotor using the concept of model order reduction. The beauty of the presented approach is that the optimal performance can be achieved by lower-order controller, hence reduces the size of the controller. Moreover, there is no need for extra filter which is generally augmented with IMC-PID controller. Particularly here, it is shown that without using additional filter, the performance of IMC-PI controller is better in comparison to IMC-PID controller with additional filter. The proposed methodology has been validated on an experimental set up of precision modular servo (PMS) system using its different reduced-order models. Further, it is shown that the reduced model based on Routh array is the best suited for obtaining optimal performance for speed control of PMS system.

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Section: Introductionmentioning

confidence: 99%

Dimensionality reduction based IMC-PI tuning for DC servomotor

Saxena

Hote

2016

2016 Indian Control Conference (ICC)

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“…Garcia and Morari (1982) introduced IMC it is characterized as a controller where the process model is explicitly an integral part of the controller. The design process of IMC involves factorizing the predictive plant model G M (s) as invertible G M− (s) and noninvertible G M+ (s) parts depicted in Equation (1) by simple factorization or all pass factorization (Horn et al, 1996;Lee et al, 1998;Rivera et al, 1986;Saxena & Yogesh, 2012;Shamsuzzoha & Lee, 2008c). The internal model controller in Equation (2) …”

Section: Introductionmentioning

confidence: 99%

Design of internal model control-proportional integral derivative controller with improved filter for disturbance rejection

Rao

Subramanyam²,

Satyaprasad

2014

Systems Science & Control Engineering

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The internal model control (IMC) proportional integral derivative (PID) controller tuning rules provide an excellent tracking of set-point, but sluggish disturbance rejection, as the conventional IMC filter introduces slow process pole. Disturbance rejection is significant than set-point tracking in many industrial applications. This paper proposes the design of IMC-PID controller, cascaded with lead-lag filter, with an improved IMC filter to provide effective disturbance rejection and robust operation of the first-order processes (FOPs). The simulation study was conducted to show the effectiveness of the proposed method on various structures of the FOPs, calculating the controller parameters, maintaining similar robustness in terms of maximum sensitivity M S . Perturbations were incorporated in the parameters of the plant model simultaneously, for the robustness analysis of the controller. The closed-loop performance was evaluated with the integral error criteria, namely, integral absolute error, integral square error, and integral time absolute error. The proposed IMC filter provided good disturbance rejection. The results of recently published design methods were compared with that obtained from the proposed method, validating the usefulness of the proposed method.

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“…The IFAC Conference on Advances in PID Control held in Brescia (Italy) during 28-30 March 2012 concluded that there is no perfect alternative to the PID controller at least at the bottom layer in the process industries (Alcántara et al 2013;Shamsuzzoha 2014). The internal model control (IMC) provides a simple structure for assessment and amalgamation of performance of the control system (Saxena and Hote 2012;Morari and Zafiriou 1989;Shamsuzzoha andLee 2007, 2008b). The effectiveness of IMC tuning rules for setpoint and disturbance, and the derived PID controller attracted the attention of the control engineers and industries in the last decade (Shamsuzzoha andLee 2007, 2008b).…”

mentioning

confidence: 99%

“…The effectiveness of IMC tuning rules for setpoint and disturbance, and the derived PID controller attracted the attention of the control engineers and industries in the last decade (Shamsuzzoha andLee 2007, 2008b). The PID controller tuned with IMC tuning rules provides a clear compromise between robustness and performance to model mismatches, and it is accomplished with only one tuning parameter λ (Lee et al 2008;Saxena and Hote 2012;Shamsuzzoha andLee 2007, 2008b;Rivera et al 1986;Horn et al 1996;Gopi Krishna Rao et al 2014a). The PID controller design for IPDT based on IMC principle was first proposed by Chien and Fruehauf (1990) for closed-loop performance.…”

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confidence: 99%

Robust Design of PID Controller Using IMC Technique for Integrating Process Based on Maximum Sensitivity

Vuppu¹,

Venkata²,

Kodati

2015

J Control Autom Electr Syst

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The aim of this work was to obtain a design for the proportional integral derivative controller in series with a second-order lead/lag filter for pure integrating process with time delay based on internal model control principle to achieve efficient disturbance rejection and robustness. A setpoint filter is introduced to reduce the overshoot in the setpoint response. Further, the robustness of the controller is examined by incorporating perturbations in the time delay parameter for model mismatch. The proposed method demonstrated good disturbance rejection and robustness in comparison with recently developed methods with the controller tuned to have same robustness rank with the calculation of the peak of maximum sensitivity (M S ).

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Advances in internal model control technique: A review and future prospects

Cited by 111 publications

References 74 publications

Dimensionality reduction based IMC-PI tuning for DC servomotor

Dimensionality reduction based IMC-PI tuning for DC servomotor

Design of internal model control-proportional integral derivative controller with improved filter for disturbance rejection

Robust Design of PID Controller Using IMC Technique for Integrating Process Based on Maximum Sensitivity

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