Design of adaptive PID controllers based on adaptive Smith predictor for ultra-local model control

Thabet, Hajer; Ayadi, Mounir; Rotella, Frédéric

doi:10.1504/ijaac.2017.083311

Cited by 10 publications

(5 citation statements)

References 18 publications

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“…Let us remind [29] the reader about the severe difficulties that are due to delays in the model-free setting. Compare with other techniques in the literature: [7], [43], [24], [25], [38], [40], [35], [72], [80], [81], [82].…”

Section: Discussionmentioning

confidence: 99%

Bullwhip effect attenuation in supply chain management via control-theoretic tools and short-term forecasts: A preliminary study with an application to perishable inventories

Hamiche

Fliess

Join³

et al. 2019

2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)

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Supply chain management and inventory control provide most exciting examples of control systems with delays.Here, Smith predictors, model-free control and new time series forecasting techniques are mixed in order to derive an efficient control synthesis. Perishable inventories are also taken into account. The most intriguing "bullwhip effect" is explained and attenuated, at least in some important situations. Numerous convincing computer simulations are presented and discussed.

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Section: Discussionmentioning

confidence: 99%

Bullwhip effect attenuation in supply chain management via control-theoretic tools and short-term forecasts: A preliminary study with an application to perishable inventories

Hamiche

Fliess

Join³

et al. 2019

2019 6th International Conference on Control, Decision and Information Technologies (CoDIT)

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“…Figure 2, resumes the main principles of MFC. Let us emphasize that as a typical example of time delay systems, the control of supply chains needs a delay compensation, Smith predictor [42], [43], which is a basic for controlling such systems were already employed a few times for supply chain management [9], [12]. [11].…”

Section: Short Overview Of Model Free Controlmentioning

confidence: 99%

Adaptive Model-Free Control for Robust and Dynamic Management of Perishable Products^*

Nya,

Abouaissa

2023

2023 9th International Conference on Control, Decision and Information Technologies (CoDIT)

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This paper investigates the controller design for a robust and efficient supply strategy for logistic constrained systems with perishable goods subject to uncertainties on the demand and the process delays. Here, instead of model-based control strategies, through a continuous, local identification of the level variations and forecasting via the setting of time series, an adaptive model-free control that does not need any prior knowledge of the supply chain behaviors is developed. The proposed approach takes into accounts not only the decay of goods stored in warehouse (perishing inventories) and prevents from exceeding the facilities capacities but also ensures full demand satisfaction irrespective of the value of delay and reacting significantly faster to the consumer's demand uncertainty. Quantitative analyzes prove a strong reduction of the storage cost, increase of the profit and bullwhip effect attenuation.

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“…The adaptive control method adaptively changes control parameters to compensate for any change in process dynamics and/or disturbances. Such as Thabet et al [27] developed the adaptive control based on adaptive Smith predictor. Chertovskikh et al [28] designed a pre-used trained neural network for online auto-tuning to obtain smooth adaptive control.…”

Section: Introductionmentioning

confidence: 99%

An Internal Model-Based PID Control for Smart Shot Peening Operation

Nguyen

Teo

et al. 2021

Digital Manufacturing Technology

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Current control systems for the shot peening operation merely rely on old technologies, which often require repetitive processes to obtain pre-validated Almen systems to guide industrial productions. These designs for the manufacturing paradigm are not efficient for complicated workflows in modern manufacturing operation. Thus, in this study, we propose a practical model-based control system to address the issues; especially for a smarter and automated shot peening machine. In particular, the closed-loop control system development utilizes a model-based proportional-integral-derivative (PID) control technology and extreme gradient boosting (XGBOOST) machine learning algorithm. The control system includes an internal process model, a proxy model, a model-based PID controller, and pressure sensors with a low-pass filter for feedback control. The developed control system is integrated into a physical shot peening machine for on-site control validation and demonstration. In both in-silico and on-site control demonstrations, the obtained control performance is stable, robust, and reliable for different operational conditions. The measurement intensities are very close to targeted setting intensities. All the differences are smaller than the industrial threshold of (±0.01 mmA). It implies that the control system can use in industrial peening operations without the need for Almen system development for operational guidance. In other words, the control system can significantly reduce the total cost of the actual production by eliminating the cost, time, and labor of the iterative trials to build the Almen system.

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Design of adaptive PID controllers based on adaptive Smith predictor for ultra-local model control

Cited by 10 publications

References 18 publications

Bullwhip effect attenuation in supply chain management via control-theoretic tools and short-term forecasts: A preliminary study with an application to perishable inventories

Bullwhip effect attenuation in supply chain management via control-theoretic tools and short-term forecasts: A preliminary study with an application to perishable inventories

Adaptive Model-Free Control for Robust and Dynamic Management of Perishable Products^*

An Internal Model-Based PID Control for Smart Shot Peening Operation

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Design of adaptive PID controllers based on adaptive Smith predictor for ultra-local model control

Cited by 10 publications

References 18 publications

Bullwhip effect attenuation in supply chain management via control-theoretic tools and short-term forecasts: A preliminary study with an application to perishable inventories

Bullwhip effect attenuation in supply chain management via control-theoretic tools and short-term forecasts: A preliminary study with an application to perishable inventories

Adaptive Model-Free Control for Robust and Dynamic Management of Perishable Products*

An Internal Model-Based PID Control for Smart Shot Peening Operation

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Product

Resources

About

Adaptive Model-Free Control for Robust and Dynamic Management of Perishable Products^*