Performance Indices and Tuning in Process Control

Balestrino, Alessandro; Landi, Alberto; Medaglia, M.; Satler, Massimo

doi:10.1109/med.2006.328852

Cited by 10 publications

(5 citation statements)

References 15 publications

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“…For Balestrino et al (2006), the criterion of the IAE is a good economic measure of performance because the size and length of error in both directions is proportional to loss of income. In addition, an optimal system designed with this criterion is a system that has a reasonable damping, i.e., a response with overshoot, but is not too oscillatory and had a satisfactory transient response.…”

Section: Online Controlmentioning

confidence: 99%

Control Proposal for a High Purity Column Based on the Separation of Variables by the Independent Component Analysis Method

Carmo

Emerenciano

Vasconcelos

et al. 2017

Braz. J. Chem. Eng.

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Many industries are complex when it comes to operation mode. In order to reduce the problems related to strong coupling in these processes, the search for the incorporation of artificial intelligence devices has shown an increasing trend in recent years. Due to this complexity and control in multivariable processes, diagnosis and fault monitoring in the processes have become increasingly difficult. Therefore, the application of these devices has achieved satisfactory results regarding the procedures performed with human operators. Independent Component Analysis (ICA) is a signal separation technique that is based on the use of higher order statistics to estimate each of the unknown sources, through observation of various mixtures generated from these sources. Although there are recent works on using the ICA in industrial processes, few studies have been made in cases involving distillation columns. This paper proposes a control strategy based on the ICA technique, which makes the control loops decoupled and hence the performance easier. Compared to the conventional method, the technique provided a great improvement in control performance. Control structures were implemented in Simulink/Matlab® in communication with a 1,2-dichloroethane (1,2-EDC) plant simulated in Aspen Plus Dynamics TM .

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Section: Online Controlmentioning

confidence: 99%

Control Proposal for a High Purity Column Based on the Separation of Variables by the Independent Component Analysis Method

Carmo

Emerenciano

Vasconcelos

et al. 2017

Braz. J. Chem. Eng.

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“…To put the presented ideas to work, we choose here to tune a real PID on a FOPDT model like (6). For simplicity we assume also µ > 0.…”

Section: A Applying the Approachmentioning

confidence: 99%

“…[6], [10] on both FOPDT processes and FOPDT models identified for processes of different structures, is to relate it to the model delay and time constant, namely by the formula…”

Section: A Applying the Approachmentioning

confidence: 99%

Disturbance rejection in autotuners: An assessment method and a rule proposal

Leva

Papadopoulos

2015

2015 American Control Conference (ACC)

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Abstract-Disturbance rejection is a primary objective in many industrial control loops, thus a relevant goal for autotuning controllers. Nonetheless, autotuning has invariantly to cope with a reduced amount of process information. As a consequence, with the standard single-loop structure typically adopted in the addressed context, effective disturbance rejection calls for strong feedback, and therefore the solutions available to date fall sometimes short of perfection. This paper discusses the matter basically from a methodological standpoint, evidencing some structural reasons for the observed shortcomings. The result is a synthesis approach improving rejection performance with respect to existing and well established tuning rules, on a rigorously sound basis. Simulation examples are presented to support the proposal.

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“…Com algumas exceções, a maioria dos trabalhos que lancam mão de estratégias de otimização utilizam os tradicionaisíndices ISE (Integral do erro ao quadrado), IAE (Integral do erro absoluto), ITSE (Integral do erro ao quadrado multiplicado pelo tempo) e ITAE (Integral do erro absoluto multiplicado pelo tempo) e as normas de sistemas H ∞ e H 2 como função objetivo. Alguns trabalhos se dedicaramà comparação de alguns dessesíndices, mas para plantas SISO e sem atrasos de transporte (Balestrino et al, 2006;Meenakshi Kishnani and Gupta, 2014).…”

Section: Introductionunclassified

Estudo Comparativo do Projeto de Controladores PI Multivariáveis baseados em Normas de Sinais e Sistemas

Gonçalves

Negreiros

2019

Anais Do 14º Simpósio Brasileiro De Automação Inteligente

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Multivariable PI controllers for systems with time delays can be tuned with applied optimization using different formulations for the objective function. Strategies based on H ∞ and H 2 system norms impose the need of approximation of the time delays by Padé functions. On the other hand, optimization of a performance index based on signal norms rather than system norms are more direct and straightforward to formulate, although more time-consuming. In this paper, it is analysed how the different ways to formulate the optimization problem in terms of system and signal norms can impact on the closed loop performance and on computational effort. A centralized PI controller is tuned with Differential Evolution method using a suite of different control cost functions. Simulations are performed on a 2 × 2 distillation column and the results compared. Resumo: Controladores PI multivariáveis para sistemas com atrasos de transporte podem ser sintonizados por meio de otimização usando-se diferentes formulações da função objetivo. Estratégias baseadas em normas H ∞ e H 2 colocam a necessidade de aproximar os atrasos de transporte com funções de Padé. Por outro lado, a otimização de umíndice de desempenho baseado em normas de sinais ao invés de normas de sistemasé mais direta e simples de ser formulada, embora o custo computacional seja maior. Neste trabalhoé analisado como as diferentes maneiras de formular o problema de otimização em termos de normas de sistemas e de sinais impacta no desempenho do sistema em malha fechada e no esforço computacional. Um controlador PI centralizadoé sintonizado usando o método Evolução Diferencial e uma suíte de diferentes funções de custo. Simulações são executadas num modelo de coluna de destilação 2 × 2 e os resultados são comparados.

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Performance Indices and Tuning in Process Control

Cited by 10 publications

References 15 publications

Control Proposal for a High Purity Column Based on the Separation of Variables by the Independent Component Analysis Method

Control Proposal for a High Purity Column Based on the Separation of Variables by the Independent Component Analysis Method

Disturbance rejection in autotuners: An assessment method and a rule proposal

Estudo Comparativo do Projeto de Controladores PI Multivariáveis baseados em Normas de Sinais e Sistemas

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