Model Predictive Control of Wastewater Systems

URL: http://www.springer.com/us/book/9781849963527

Sewer networks are large-scale systems with many variables, complex dynamics and strongly nonlinear behaviour. Their control plays a fundamental role in the management of hydrological systems related to the natural water cycle, potentially avoiding flooding and sewer overflow in extreme weather. An adequate control scheme must deal with the complicated nature of sewer networks. Model Predictive Control of Wastewater Systems shows how sewage systems can be modelled and controlled within the framework of model predictive control (MPC). Several MPC-based strategies are proposed, accounting for the inherently complex dynamics and the multi-objective nature of the control required. The effect of system disturbance, represented by data from real rain episodes, on the performance of the control loop to which these strategies give rise is also accommodated. Complementary to these considerations is the incorporation of the closed-loop system within a fault-tolerant architecture and the study of faults in system actuators. Actuator faults are represented using hybrid modelling techniques, avoiding the loss of convexity of the related optimisation problem when the linear case is considered. The methods and control designs described in this book can easily be extrapolated to other complex systems of similar nature such as drinking-water networks and irrigation canals. A MATLABĀ® toolbox, created by the author and available for download from www.springer.com/ISBN will assist readers in implementing the MPC methods described within a sewer network. Model Predictive Control of Wastewater Systems will be of interest to academic researchers working with large-scale and complex systems and studying the applications of model-predictive, hybrid and fault-tolerant control. Control engineers employed in industries associated with water management will find this book a most useful resource for suggesting improvements in the control algorithms they employ.

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Additional Information

Field Value
Last updated June 16, 2016
Created June 16, 2016
Format unknown
License No License Provided
created over 2 years ago
id 56ccacb0-5521-4b15-9abe-2d5d53272d4f
openAccess false
package id b0b32b0f-aa1a-43fe-9de8-0d6fcc872fb8
position 4
revision id f0a5a351-7af0-466a-aa97-47988e9757d6
state active
tags Model Predictive Control,Sewage,flooding
topic Water supply and distribution
type Book
year 2,010