Abstract
The application of automation techniques to water pump systems, combined with modern control techniques, has been increasing the hydraulic and energy efficiency of such systems. In this context, the objective of this work is to present an intelligent method of flow control based on Brain Emotional Learning Basic Intelligent Control (BELBIC), which will be applied to an experimental workbench of a pumping system, located in the Energy Efficiency and Energy Quality Laboratory (LEEQE) at Federal University of Pernambuco (UFPE). The parameters of this controller are optimized with a particle swarm optimization (PSO) technique with minimization of Integral Absolute Error (IAE). Initial tests were performed in a computational environment so that the system’s performance could be pre-tested, thereby the dynamics of the system was modeled from real data generated in the process. The experimental results were obtained through the implementation of this control system in a programmable logic controller (PLC), which was the device responsible for all the automation of the workbench previously mentioned. The data of this workbench were collected using a supervisory system exclusively developed for this work. These data were then used to analyze the performance of the proposed control system, which demonstrated that its behavior was efficient.
Highlights
The sanitation sector has a high rate of technical losses of water captation along its final distribution
This work presents the implementation of the Brain Emotional Learning Basic Intelligent Control (BELBIC) controller in a programmable logic controller (PLC) for the flow control of the LAMOTRIZ industrial pumping system, the idea of this controller can be generalized to several industrial processes
This paper presents the implementation of particle swarm optimization (PSO) as a search tool for the adjusting parameters(K1, K2, K3, K4 e K5 represented in the Fig. 10) that will be used in the BELBIC controller
Summary
The sanitation sector has a high rate of technical losses of water captation along its final distribution This statement is related to the fact that many water distribution plants have: choke valves; pressure losses in piping; system oversizing and obsolescence of motors; low efficiency motors; besides low investments towards automation and micrometering. Due to these facts, companies have aimed at investing in technologies to minimize these losses, targeting a potential huge market for applications in supervision and control system; load curve modulation; equipment replacement and applications using frequency converters.
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