Adaptive Pressure Control System Based on the Maximum Correntropy Criterion.

Thommas Kevin Sales Flores,Sebastian Yuri Cavalcanti Catunda,Juan Moises Mauricio Villanueva,Heber Pimentel Gomes

doi:10.3390/s21155156

Thommas Kevin Sales Flores, Sebastian Yuri Cavalcanti Catunda + Show 2 more

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https://doi.org/10.3390/s21155156

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Abstract

Water supply systems are constantly improving their operation through energy efficiency actions that involve the use of advanced measurement, control, and automation techniques. The maintenance and reliability of water distribution is directly associated with hydraulic pressure control. The main challenges encountered in hydraulic pressure control are associated with random changes in the supply plant and the presence of noise and outliers in the sensor measurements. These undesired characteristics cause inefficiency and instability in the control system of the pumping stations. In this scenario, this paper proposes an indirect adaptive control methodology by reference model for modeling and controlling water supply systems. The criterion adopted in the parametric estimation mechanism and the controller adaptation is the Maximum Correntropy. Experimental results obtained with an experimental bench plant showed that the maximum tracking error was 15% during demand variation, percentage overshoot less than 5%, and steady-state error less than 2%, and the control system became robust to noise and outliers. In comparison to the Mean Squared Error criterion, when noise and outliers influence the sensor signal, the proposed methodology stands out, reducing the mean error and the standard deviation, in the worst-case scenario, by more than 1500%. The proposed methodology, therefore, allows for increased reliability and efficiency of an advanced pump control system, avoiding downtime and equipment damage.

Highlights

The economy, reliability, and stability of water supply systems have a direct impact on the various sectors of society, and to improve these characteristics, the utility companies continuously invest in infrastructure, monitoring, and new information technology instruments, transforming the water supply networks into an intelligent system [1].In the modern water supply system, various techniques have been used to monitor and control the hydraulic pressure, trying to increase its reliability and continuity
The results showed that Fuzzy control is more robust to variations in physical plant characteristics and noise in signals measurement, unlike Proportional IntegralDerivative (PID) control, whose gains are determined to meet a desired dynamic response
The proposed experimental scenarios are (i) definition of the reference model; (ii) identification of the system based on Maximum Correntropy Criterion (MCC); (iii) adaptive PID control based on MCC; (iv) analysis of the controller performance with changing demand; (v) performance evaluation of the system in the presence of outliers; and (vi) comparison of the proposed method based on MCC

Summary

Introduction

In the modern water supply system, various techniques have been used to monitor and control the hydraulic pressure, trying to increase its reliability and continuity. Studies such as those developed by [2,3,4] have made comparisons between Proportional Integral. Industrial processes have aspects of nonlinearities, parameter changes, disturbances, impulsive noise, and the influence of outliers in the sensor’s signal measurements. These characteristics indicate the need to adopt more robust controllers, like adaptive controllers, given the criticality and the search for maximum efficiency in industrial processes [26]. The controller gains are estimated directly from a pre-established reference model, that is, it is not necessary to perform the identification of the plant parameters [27]

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