Control and Instrumentation For Wastewater Treatment Plants

Abstract

This monograph deals with the state-of-the-art advances in computer-based wastewater treatment plant control. The intent of the authors of the monograph was to provide an introductory textbook in control and instrumentation technology for wastewater treatment plants. The monograph's coverage encompasses control theory, plant modeling, and simulation, supervisory control, data management, sensors, virtual instrumentation, expert systems, neural network and fuzzy logic. The nature and extent of the presentation are geared to ®t the needs of wastewater treatment plant operators, process design and control engineers, works managers and individuals who are involved in the design, installation, commissioning and operation of the treatment facilities. Added to this list of``hoped for'' users and readers are

Towards an integrated tool for control, supervision and operator training—application to industrial wastewater detoxication plants

“…In fact, any fault implying casual pollution may be expensive in the near future, notably for the SMEs. The latter are therefore interested in the development of efficient tools for realtime aid in the decision making, which would enable a ''fault-free'' management of the WWDP (Kushner & Kushner, 1994;Katebi, Johnson, & Wilkie, 1999;Weber, 2001).…”

Predictive Control of aWastewater Treatment Process

“…The Clarifier Tank is a gravity settlement tank where the sludge and the clear effluent are separated. A part of the removed sludge is recycled back to the aeration tank and the other part removed [14].…”

Hierarchical predictive control of Wastewater Treatment Plants

“…The Activated Sludge Process is the most used technology of biological treatment processes to treat municipal and industrial wastewater due to its flexibility, high reliability and costeffectiveness, as well as its capacity of producing high quality effluent. The AS processes are difficult to control because of their complex and nonlinear behaviour [1]. Several research papers have focused on the importance of well-tuned models and simulation platforms in the process of designing and tuning the controllers [2,3].…”