Modelling of water level system using neurofuzzy tuned by PSO

Turki, Mourad; Sakly, Anis

doi:10.1109/sta.2016.7952055

Cited by 3 publications

(5 citation statements)

References 11 publications

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“…In paper [5], the identification of a water level system using an FL inference system with the adaptation of the network for the modeling and control of this object is proposed by Turki et al The model and its control have been performed in MATLAB/Simulink, where the numerical and real models have been compared. In the study continued in [6], the authors tuned the Takagi-Sugeno (T-S) neuro-fuzzy liquid level control system using PSO-Particle Swarm Optimization.…”

Section: Matlab/simulink Environmentmentioning

confidence: 99%

“…The real-time measurement of the water level is possible, e.g., with gauge pressure transducers. The use of mechanical measuring devices such as differential pressure sensors and level gauges based on a hydrostatic measuring method, and capacitive sensors or optical grating are often selected [5,[40][41][42][43]. On the other hand, non-contact measurement techniques without electrical connections inside tanks are being developed [32,33].…”

Section: Modern Techniques Machines and Sensor Solutions For Water Le...mentioning

confidence: 99%

“…A single-tank dynamical system (eventually, equipped with a reservoir-a basin of water), which is investigated in [39,60,61] (state-space approach, PI, PID), [22,37] (state-space representation in a discrete form), [2,7,19,26,62,63] (transfer function approach), [3,5,6,26,[62][63][64][65] (FL, PSO), [22,37] (predictive control), [18,20,27] (geometryvarying tank: conical and spherical) and others [34,46]; 2.…”

Section: Mathematical Modelingmentioning

confidence: 99%

“…At the end of this section, let us mention the noteworthy paper [5], which proposes an identification of a water level dynamical system made with the use of both NN and FL, i.e., the neurofuzzy approach. In this study, a water level dynamical system is analyzed using an adaptive ANFIS-a network-based fuzzy logic inference system.…”

Section: Experimental Identification and The Estimation Of Model Para...mentioning

confidence: 99%

“…Concluding this part of the overview, beginning from the SMC methods and its variations, the multi-dimensional water level control problem has become more complex, but mostly more effective. Another successful attempt for solving the multi-tank problem continues this tendency via the application of the PSO and NN [5,6,16,35,63,65], since the most popular FL control is described below.…”

Section: Sliding Mode Controlmentioning

confidence: 99%

See 4 more Smart Citations

Intelligent Mechatronics in the Measurement, Identification, and Control of Water Level Systems: A Review and Experiment

Olejnik

Awrejcewicz

2022

Machines

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In this paper, a unique overview of intelligent machines and mathematical methods designed and developed to measure and to control the water level in industrial or laboratory setups of coupled and cascaded configurations of tanks is made. A systematized and concise overview is made of the mechatronic systems used in the measurement, identification, and control of the water level enumerates, the software used in the associated scientific research, modern techniques and sensors, and mathematical models, as well as analysis and control strategies. The broad overview of applications of the last decade is finalized by a proposition of a control system that is based on a parameter estimation of a new experimental setup, an integral dynamic model of the system, a modern mechatronic machine such as the Watson-Marlow peristaltic pump, the Anderson Negele sensor of level, the NI cRIO-9074 controller, and LabVIEW virtual instrumentation. The results of real experimental tests, exploiting a hybrid proportional control, being improved by a numerically predicted water level, are obtained using a few tools, i.e., the static characteristics, the classical step response, and a new pyramid-shaped step function of a discontinuous path-following reference input, being introduced to evaluate the effectiveness and robustness of the regulation of the level height.

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Section: Matlab/simulink Environmentmentioning

confidence: 99%