Modelling and Control of Water Supply Systems

This paper proposes a discrete-time switching controller strategy for a hydraulic process pumping station. The proposed solution leads to improving control system performances with two tests: combination of Fuzzy-PD and PI controllers and Fuzzy-PID and PI controllers. The proposed design methodology is based on accurate model for pumping station (PS), which is developed in previous works using Fuzzy-C Means (FCM) algorithm. The control law design is based on switching control; a fuzzy supervisor manages the switching from one to another and regulates the rate of participation of each order, in order to satisfy various objectives of a stable pumping station like the asymptotic stability of the tracking error. To validate the proposed solution, experimental tests are made and analyzed. Compared to the conventional PI and fuzzy logic (FL) approaches, the results show that the switching controller allows exhibiting excellent transient response over a wide range of operating conditions and especially is easier to be implemented in practice.

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Water-management is an interdisciplinary field concerned with the management and optimum utilization of water. The consumption of water is increasing due to rapid growth of population. Further due to ecological changes, the open reservoir systems water storage and its availability is shrinking every year. Thus underground source of water has become the major source of water pumped through submersible pump at domestic end. On the other end, excessive and continuous use of water through this pump may lead to depletion of water table. In order to avoid this, an optimal control system for water-management has been proposed in the present project work. This has been achieved by controlling the operational time of a solar water pump in an optimal way. An efficient fuzzy model has been proposed in simulation environment to develop such an adaptive control system and its implementation in a residential building has been studied.

The paper deals with one of frequently encountered tasks in process industry -water level control. Proportional Integral Derivative (PID) control is often used for this purpose. Since control parameters of PID controller are fixed and tank system is inherently nonlinear, PID controller should not be used on wider level range. Therefore, this paper analyzes the effectiveness of water level control using fuzzy controller. The fuzzy controller is implemented based on mathematical model of tank and using MATLAB. The controller is implemented on Friendly ARM -embedded computer. Arduino board is used as an acquisition board for collecting sensor data from tank system Festo Didactic DD 3100 and as a PWM signal generator for water pump control. Experimental results confirm that the fuzzy control system has good adaptability in comparison with PID and provided satisfying results.

In this paper, the modelling and simulation of a water tank level controller using fuzzy logic approach has been achieved. This project is aimed at the design and simulation of a fuzzy logic based controller that will provide a stabilized output response. In order to successfully achieve this project, emphasis was made on two areas; the foundational knowledge of fuzzy logic and the fuzzy inference system, and the definition of the tank system model and its parameters. The design was implemented using Fuzzy Logic Toolbox package and SIMULINK environment which can be found in MATLAB software. For the purpose of analysis, the controller was simulated using a variety of rules in order to test the effect of the rules on the fuzzy logic controller. Results will show that fuzzy logic can realize faster results, superior features, and better end product performance with respect to overshoots, oscillations and response time.

International Journal of Electrical and Computer Engineering (IJECE), 2022

This article presents the design of a fuzzy controller embedded in a microcontroller aimed at implementing a low-cost, modular process control system. The fuzzy system's construction is based on a classical proportional and derivative controller, where inputs of error and its derivate depend on the difference between the desired setpoint and the actual level; the goal is to control the water level of coupled tanks. The process is oriented to control based on the knowledge that facilitates the adjustment of the output variable without complex mathematical modeling. In different response tests of the fuzzy controller, a maximum over-impulse greater than 8% or a steady-state error greater than 2.1% was not evidenced when varying the setpoint.

World Journal of Engineering and Technology, 2016

In industrial process control, fluid level control is one of the most basic aspects. Many control methods such as on-off, linear and PID (Proportional Integral Derivative) were developed time by time and used for precise controlling of fluid level. Due to flaws of PID controller in non-linear type processes such as inertial lag, time delay and time varying etc., there is a need of alternative design methodology that can be applied in both linear and non-linear systems and it can be execute with fuzzy concept. By using fuzzy logic, designer can realize lower development cost, superior feature and better end product. In this paper, level of fluid in tank is control by using fuzzy logic concept. For this purpose, a simulation system of fuzzy logic controller for fluid level control is designed using simulation packages of MATLAB software such as Fuzzy Logic Toolbox and Simulink. The designed fuzzy logic controller first takes information about inflow and outflow of fluid in tank than m...

Journal of Water Resources Planning and Management, 2002

A fuzzy rule-based control model for multipurpose real-time reservoir operation is constructed.

This paper deals with water resource management problems faced from an Automatic Control point of view. The motivation for the study is the need for an automated management policy for an artificial reservoir (dam). Two problems are addressed in the article: the control of the dam gate, that is a typical control problem, and the definition of the water flow to supply to the user, that is a decision problem. In particular, a mathematical model of the reservoir is deduced, and a PID controller with fuzzy (nonlinear) gains is designed to operate the dam gate. Moreover, a hybrid model of the reservoir is considered and implemented in Stateflow/Simulink, and a second fuzzy decision mechanism is implemented in order to produce different water release strategies. A new cost functional is proposed, able to weight user's desiderata (in terms of water demand) with water waste (in terms of water spills). The parameters of the fuzzy system are optimized by employing Genetic Algorithms, which have proved very effective due to the strong nonlinearity of the problem.

Annales g?ologiques de la Peninsule balkanique, 2014

A groundwater control system was designed to lower the water table and allow the pumping station "Bezdan 1" to be built. Based on a hydrodynamic analysis that suggested three alternative solutions, multicriteria optimization was applied to select the best alternative. The fuzzy analytic hierarchy process method was used, based on triangular fuzzy numbers. An assessment of the various factors that influenced the selection of the best alternative, as well as fuzzy optimization calculations, yielded the "weights" of the alternatives and the best alternative was selected for groundwater control at the site of the pumping station "Bezdan 1".

2020

The energy generation of a run of river hydropower plant depends upon the flow of river and the variations in the water flow makes the energy production unreliable. This problem is usually solved by constructing a small pond in front of the run of river hydropower plant. However, changes in water level of conventional single pond model results in sags, surges and unpredictable power fluctuations. This work proposes three pond model instead of traditional single pond model. The volume of water in three ponds is volumetrically equivalent to the traditional single pond but it reduces the dependency of the run of river power plant on the flow of river. Moreover, three pond model absorbs the water surges and disturbances more efficiently. The three pond system, modeled as non-linear hydraulic three tank system, is being applied with fuzzy inference system and standard PID based methods for smooth and efficient level regulation. The results of fuzzy inference system are across-the-board i...