Generic framework for valve stiction detection and compensation with ANFIS-activated dual-mode MPC

Jeremiah, Sean Suraj; Zabiri, Haslinda; Ramasamy, M.; Teh, Weng Kean; Kamaruddin, Bashariah; Amiruddin, Ahmad Azharuddin Azhari Mohd

doi:10.1016/j.jprocont.2019.05.006

Cited by 5 publications

(1 citation statement)

References 52 publications

(88 reference statements)

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“…Its optimization process ensures stability and convergence to the desired equilibrium point. It is necessary to know the mathematical model of the plant in its entirety in order to predict it [12], [13]. Some related papers with these controllers are The development of a MPC for a hydraulic car system where the versatility of the controller against external disturbances is evident [14].…”

Section: Introductionmentioning

confidence: 99%

MRAC and MPC Controllers for Load Application System of the Accelerated Testing Equipment of Pavements

Ortíz

Castelblanco

Fonseca

2020

Int. J. Adv. Sci. Eng. Inf. Technol.

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For the study of pavement structures, different methodologies and devices have been used and those have been modified and modernized. The development of these routes directly impacts the social and economic development of the different regions. Through the roads, the interconnection between different points is allowed, and the resources that need to be invested for its construction are high. Trends show real-scale studies to determine real operating parameters that allow improving design processes. For this reason, test devices have been developed that simulating real operating conditions, but these machines require robust and efficient control. Adaptive and predictive controls are the most used in industrial processes, where it is necessary to reduce performance and operation costs-obtaining smooth transitions in the control signal, especially when techniques are used with followup to reference models. This document shows the design of the MRAC (Adaptive Reference Control Model) and MPC (Predictive Control Model) controller applied to a hydraulic loading system for real-scale pavement test equipment. The mathematical development of the plant and the controllers is presented, along with its implementation, simulation, and analysis. The main objective of this work is to verify the effectiveness of these controllers for this type of real scale system since due to the number of variables that affect these devices and the complexity of the study material.

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Section: Introductionmentioning

confidence: 99%

MRAC and MPC Controllers for Load Application System of the Accelerated Testing Equipment of Pavements

Ortíz

Castelblanco

Fonseca

2020

Int. J. Adv. Sci. Eng. Inf. Technol.

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Artificial intelligence‐based process control in chemical, biochemical, and biomedical engineering

Dutta

Upreti

2021

Can J Chem Eng

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In the last three decades, artificial intelligence (AI) has been increasingly and vigorously utilized for process control in chemical, biochemical, and biomedical engineering. These disciplines frequently involve fairly sophisticated processes under risks of operational upsets, and thus have an ever increasing demand of superior control strategies. As the deployment of AI in process control pushes the limits in this regard, the research advances, which are multitudinous and varied, need to be assimilated and organized to help promote further utilization and progress in the field. To that end, we examine more than 280 relevant research publications, and systematically collate the information. The AI‐based technologies are classified, and their over‐arching control paradigm is presented. Common AI‐based control technologies are then presented, which are based on expert systems, fuzzy logic, artificial neural networks, nature‐inspired algorithms, and hybrid approaches. Their working principles, types, and implementations are summarized along with advantages, limitations, and comparisons, if available. Important applications in the above disciplines are included with the help of tables that capture important details. A discussion is also provided on advanced and newly emerging AI‐based control technologies with pertinent applications. Overall trends are analyzed, and future prospects are identified based on the survey.

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Improving operation in an industrial MDF flash dryer through physics-based NMPC

Santos

Pitarch

Vicente

et al. 2020

Control Engineering Practice

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Generic framework for valve stiction detection and compensation with ANFIS-activated dual-mode MPC

Cited by 5 publications

References 52 publications

MRAC and MPC Controllers for Load Application System of the Accelerated Testing Equipment of Pavements

MRAC and MPC Controllers for Load Application System of the Accelerated Testing Equipment of Pavements

Artificial intelligence‐based process control in chemical, biochemical, and biomedical engineering

Improving operation in an industrial MDF flash dryer through physics-based NMPC

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