Tuning And Control Loop Performance 4e

Practical Process Control Design with Industrial Applications

Practical guidance on how to apply process control fundamentals to solve real-world control problems Practical Process Control Design with Industrial Applications presents process control essentials and control strategy design fundamentals for modern-day DCS work environments. It uses a unique instructional approach—a process analysis and process understanding framework that enables readers to better understand and more effectively use process control fundamentals. Process analysis, operating objectives, and business drivers guide the identification of control objectives and facilitate control strategy designs of realistic control applications for real-world unit operations. Filling a gap in the literature, coverage includes: Merging process analysis, process understanding, and real-world plant operations with process control essentials and design fundamentals Detailed discussion of real-world design issues and realistic process-specific control strategies Methods used to ensure acceptable control performance continues when various “what if” issues arise How process control design fundamentals are applied in important unit-specific control strategies How best to apply specific control attributes (control direction), control options (PID proportional action), standard DCS functionality (algorithms and/or function blocks), and corporate or site standards (input signal validation) to develop control strategies that achieve control objectives with acceptable control performance. Practical Process Control Design with Industrial Applications is an essential reference for control engineers and process engineers who support process control activities in an operating plant, DCS vendor control application specialists, and EPC company project engineers who support process control activities in capital projects.

Controller Tuning and Control Loop Performance

Identification of Power Plant Processes - Theory and Application

The book presents non-standard approaches and algorithms for design, tuning, and modeling of power plant control systems in the environment of Matlab and its Toolboxes. The topic at hand is the identification of transfer functions of Single-Input Single-Output (SISO) - controlled processes, which may be described as dynamical links with self-regulating, or integrating, or differentiating properties. Within a framework of a single procedure, the nominal transfer function of the power process and the transfer functions uncertainties are identified, creating a basis for a robust approach. This textbook provides the necessary tools, guidance, and support for understanding and effective use of the modern methods of identification in the design, tuning, and optimization of power plant control systems. It can also serve as a theoretical background for creating software for these purposes.