Predictive functional control: principles and industrial applications

The demands of the modern economic climate have led to a dramatic increase inthe industrial application of model-based predictive control. Apart from PID,predictive control is probably the most popular control approach in use today. Predictive functional control (PFC) was first used to develop a model-based predictive controller that was easy to understand, implement and tune from an instrumentation engineer’s perspective. In the forty years since, there have been thousands of successful applications of PFC controllers in a large and diverse group of industries. Predictive Functional Control provides readers with:a fundamental understanding of the principles associated with PFC; the basic PFC control equations to be implemented in all programmable logic controllers or digital control systems in block programming form; and tuning rules and implementation procedures. Some new features arising from the needs of the process industries are reported along with many examples of industrial applications.Introduces the industrial engineer to more efficient control for more cost-effective processes and more profitable industry Shows the reader how to implement predictive control in programmable logic and digital control systems Draws on the forty years of applications experience of the ‘Grandfather of predictive control’ INDICE: Why Predictive Control?.- Internal Model.- Reference Trajectory.- Control Computation.- Tuning.-Constraints.- Industrial Implementation.- Parametric Control.- Unstable Poles and Zeros.- Industrial Examples.- Conclusions.- Appendices.

• ISBN: 978-1-84882-492-8
• Editorial: Springer
• Encuadernacion: Cartoné
• Páginas: 245
• Fecha Publicación: 01/07/2009
• Nº Volúmenes: 1
• Idioma: Inglés