Control Performance Assessment: Theoretical Analyses and Industrial Practice

Domański, Paweł D.

doi:10.1007/978-3-030-23593-2

Cited by 54 publications

(52 citation statements)

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“…Present control performance assessment research encompasses various domains and applications of control engineering. Different methods' categories have been investigated [9,69,70]. The classification listed below includes short descriptions addressing the above discussed simplicity issues:…”

Section: Control Performance Assessmentmentioning

confidence: 99%

“…On-line perpetual validation of the results may be very useful. There are several commercial CPA software packages available on the market supporting on-line assessment [9,65,113].…”

Section: Industrial Implementationsmentioning

confidence: 99%

“…Automagic evaluation of any index without profound reflection about its properties in a given control environment leads to nowhere [167]. CPA procedure should take into account all available degrees of freedom of the MPC application and should use all available case-specific knowledge [9]. No single tool is a universal problem solver.…”

Section: Mpc Assessment Proceduresmentioning

confidence: 99%

“…On-line performance monitoring, diagnostics, and maintenance play increasingly important roles and constitute inevitable aspects of good practices on site. These aspects appear at the PID regulatory level, but they are crucial for APC [8,9] solutions, as advanced controls mostly operate close to the technological constraints. It is expected that the base control maintains the operation in automatic (AUTO) mode, while APC is aimed at additional financial benefits.…”

Section: Introductionmentioning

confidence: 99%

“…Thereby, they require quantitative indexes to measure it. Dozens of different approaches and indicators have been developed during that time [9], originating from step-response measures of an overshoot and settling time, up to complex model-based or multifractal methodologies. The assessment is closely associated with and often included in an activity called a control feasibility study (or performance study), which measures the current quality and estimates potential benefits of the improved control.…”

Section: Introductionmentioning

confidence: 99%

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Performance Assessment of Predictive Control—A Survey

Domański

2020

Algorithms

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Model Predictive Control constitutes an important element of any modern control system. There is growing interest in this technology. More and more advanced predictive structures have been implemented. The first applications were in chemical engineering, and now Model Predictive Control can be found in almost all kinds of applications, from the process industry to embedded control systems or for autonomous objects. Currently, each implementation of a control system requires strict financial justification. Application engineers need tools to measure and quantify the quality of the control and the potential for improvement that may be achieved by retrofitting control systems. Furthermore, a successful implementation of predictive control must conform to prior estimations not only during commissioning, but also during regular daily operations. The system must sustain the quality of control performance. The assessment of Model Predictive Control requires a suitable, often specific, methodology and comparative indicators. These demands establish the rationale of this survey. Therefore, the paper collects and summarizes control performance assessment methods specifically designed for and utilized in predictive control. These observations present the picture of the assessment technology. Further generalization leads to the formulation of a control assessment procedure to support control application engineers.

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Section: Control Performance Assessmentmentioning

confidence: 99%

“…On-line perpetual validation of the results may be very useful. There are several commercial CPA software packages available on the market supporting on-line assessment [9,65,113].…”

Section: Industrial Implementationsmentioning

confidence: 99%

Section: Mpc Assessment Proceduresmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Performance Assessment of Predictive Control—A Survey

Domański

2020

Algorithms

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Study on outlier robustness of minimum variance control performance assessment

Kaczmarek

Domański

2021

Adaptive Control & Signal

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Summary Minimum variance (MinVar) method for control performance assessment constitutes one of the most common approaches to the control quality estimation. There are dozens of versions, enriched with numerous reported industrial implementations. MinVar methodology uses the idea of minimum variance, which has been introduced by Kalman. Therefore, it should be remembered that MinVar concept relies on the same assumptions as an idea of the minimum variance control. Among other assumptions, it is essential that the modeled disturbance is an independent random sequence. This article addresses scenarios, when loop noise exhibits non‐Gaussian properties and is characterized by outliers having fat‐tailed distribution. Sensitivity analysis of minimum variance method against such disturbances is evaluated using commonly used PID SISO control benchmarks. It is shown that MinVar method may be significantly biased in such non‐Gaussian situations, which are very frequent in the industrial reality. Reasons of the biased performance are traced and respective solutions are proposed.

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Outlier Sensitivity of the Minimum Variance Control Performance Assessment

Kaczmarek

Domański

2020

Advances in Intelligent Systems and Computing

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Control Performance Assessment: Theoretical Analyses and Industrial Practice

Cited by 54 publications

References 0 publications

Performance Assessment of Predictive Control—A Survey

Performance Assessment of Predictive Control—A Survey

Study on outlier robustness of minimum variance control performance assessment

Outlier Sensitivity of the Minimum Variance Control Performance Assessment

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