Adaptive control of a water supply system

Elbelkacemi, Mourad; Lachhab, Abdeslam; Limouri, M.; Dahhou, B.; Essaid, A.

doi:10.1016/s0967-0661(00)00115-5

Cited by 21 publications

(7 citation statements)

References 6 publications

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“…For switching between the different operating regimes of the PS, the speed error (the deviation of the current value from its reference), the pumping flow error, the pumping head error and the available power error are converted into electrical frequency error. The adaptive character is not ensured by re-tuning the PI controller parameters as in self-tuning controllers [6,7] or by a reference model [8,9] but by readjusting the control law through a change in the control loop depending on the controlled output of the process (pump speed, pump discharge, pumping head or absorbed power). The deviations of the mentioned controlled outputs from their referenced values are converted into electrical frequency error (the deviation of the current value from its reference), which is the regular input to the already tuned controller; therefore, no controller re-tuning is required.…”

Section: Introductionmentioning

confidence: 99%

Adaptive Control Strategy for a Pumping System Using a Variable Frequency Drive

et al. 2023

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Currently, the most implemented solution for driving a pumping system (PS) at variable speed is using a variable frequency drive (VFD). Because most of the VFDs have integrated only one proportional-integral (PI) frequency controller whose parameters (proportional gain/the integration time) can be off-line tuned but cannot be changed during real-time operation, and many PS must operate in different regimes (at variable speed, variable flow rate, at variable pumping head or even at variable power, e.g., those powered by renewable energy sources), the adaptive control strategy proposed in this paper overcomes these problems with very good performances. The proposed adaptive control strategy uses only simple PI controllers for managing several operating regimes. The adaptive character is not ensured by re-tuning the PI controller parameters as in self-tuning controllers but by readjusting the control law through a change in the control loop depending on the controlled output of the process (pump speed, pump discharge, pumping head or absorbed power). The deviations of the mentioned controlled outputs from their referenced values are converted into electrical frequency error (the deviation of the current value from its reference), which is the regular input to the already tuned controller; therefore, no controller re-tuning is required.

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Section: Introductionmentioning

confidence: 99%

Adaptive Control Strategy for a Pumping System Using a Variable Frequency Drive

et al. 2023

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“…In 2001, Mourad et al dealt with the application of adaptive control to a freshwater supply system; the main control objective was to regulate the consumption of water-flow by controlling the water pumps discharge and the adaptive control implemented was based on the linear quadratic control approach [ 17 ]. In 2003, Orlowski et al discussed the objectives and various methods of implementing stepless control of pumps operating in water supply and sewage systems.…”

Section: Introductionmentioning

confidence: 99%

Robust Economic Control Decision Method of Uncertain System on Urban Domestic Water Supply

Wei

2018

IJERPH

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As China quickly urbanizes, urban domestic water generally presents the circumstances of both rising tendency and seasonal cycle fluctuation. A robust economic control decision method for dynamic uncertain systems is proposed in this paper. It is developed based on the internal model principle and pole allocation method, and it is applied to an urban domestic water supply system with rising tendency and seasonal cycle fluctuation. To achieve this goal, first a multiplicative model is used to describe the urban domestic water demand. Then, a capital stock and a labor stock are selected as the state vector, and the investment and labor are designed as the control vector. Next, the compensator subsystem is devised in light of the internal model principle. Finally, by using the state feedback control strategy and pole allocation method, the multivariable robust economic control decision method is implemented. The implementation with this model can accomplish the urban domestic water supply control goal, with the robustness for the variation of parameters. The methodology presented in this study may be applied to the water management system in other parts of the world, provided all data used in this study are available. The robust control decision method in this paper is also applicable to deal with tracking control problems as well as stabilization control problems of other general dynamic uncertain systems.

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“…According to the "China water resources bulletin" issued by the Ministry of Water Resources of China, the total water consumption in China was 556.6 billion m 3 [20]). In 2013, Gündeş and Nanjangud researched the simultaneous stabilization of a finite set of linear, time-invariant (LTI), multi-input multi-output (MIMO) plants using LTI output feedback controllers.…”

Section: Introductionmentioning

confidence: 99%

Multiple Urban Domestic Water Systems: Method for Simultaneously Stabilized Robust Control Decision

Wei

2018

Sustainability

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The distribution of water resources and the degree of economic development in different cities will result in different parameters for the supply and demand of domestic water in each city. In this paper, a simultaneous stabilization and robust control method is proposed for decision-making regarding multiple urban domestic water systems. The urban water demand is expressed as the product of the urban domestic water consumption population and per capita domestic water consumption. The fixed capital investment and labor input of the urban domestic water supply industry are used as control variables. Based on the Lyapunov stability theory and the linear matrix inequality method, multiple urban domestic water supply and demand systems can accomplish asymptotical stability through the coordinated input of investment and labor. For an empirical analysis, we take six cities—Nanjing, Wuxi, Nantong, Yangzhou, Xuzhou, and Lianyungang—in Jiangsu Province, China, to study the simultaneously stabilized coordinated control scheme. The simulation results show that the same control scheme simultaneously achieves the asymptotic stability of these urban domestic water supply and demand systems, and is robust when it comes to the variation of system parameters. This method is particularly suitable for a water resources administrative agency to make a unified decision-making arrangement for water supply input in different areas. It will help synchronize multiple urban domestic water managements and reduce the difficulty of control.

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Adaptive control of a water supply system

Cited by 21 publications

References 6 publications

Adaptive Control Strategy for a Pumping System Using a Variable Frequency Drive

Adaptive Control Strategy for a Pumping System Using a Variable Frequency Drive

Robust Economic Control Decision Method of Uncertain System on Urban Domestic Water Supply

Multiple Urban Domestic Water Systems: Method for Simultaneously Stabilized Robust Control Decision

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