An Investigation on Hybrid Optimization-Based Proportional Integral Derivative and Model Predictive Controllers for Three Tank Interacting System

Jayakar, S. Arun; Tamilselvan, G. M.; Sundararajan, T.; Rajesh, T.

doi:10.1007/978-981-15-8443-5_11

Cited by 1 publication

(1 citation statement)

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“…2,13 Moreover, a triple-tank hybrid system is introduced in Refs. 14,15 These three tanks are connected and controlled with valves besides the inputs provided by pumps. Furthermore, a quadruple-tank system is addressed in Refs.…”

Section: Introductionmentioning

confidence: 99%

Networked explicit hybrid predictive control of an industrial benchmark process

Younis,

Moness,

Moustafa

2024

Proceedings of the Institution of Mechanical Engineers, Part I:

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Hybrid systems have acquired deep attention in research as many systems in industries and laboratories manifest hybrid dynamic behaviors. Optimal control design for hybrid systems exhibits challenges for controlling the interacting continuous and discrete dynamics. A double-tank hybrid system (DTHS) is proposed in this paper with a mixed-integer actuation mechanism. The proposed DTHS aims to control the liquid level of the two tanks simultaneously by a networked hybrid predictive controller. Hybrid frameworks are provided to investigate the system through reachability analysis. An explicit hybrid model predictive control (EHMPC) has been developed to control the levels of the DTHS. Hardware-In-the-Loop (HIL) simulation is performed for assessing the performance of the EHMPC with a hardware real-time networked controller. The networked real-time controller is constructed and implemented using the Node.js frameworks. The simulation and realtime results are presented and discussed to evaluate the hybrid controller performance.

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Section: Introductionmentioning

confidence: 99%