Dynamic Modeling and Control of Engineering Systems

Abstract

This textbook is ideal for a course in engineering systems dynamics and controls. The work is a comprehensive treatment of the analysis of lumped parameter physical systems. Starting with a discussion of mathematical models in general, and ordinary differential equations, the book covers input/output and state space models, computer simulation and modeling methods and techniques in mechanical, electrical, thermal and fluid domains. Frequency domain methods, transfer functions and frequency response are covered in detail. The book concludes with a treatment of stability, feedback control (PID, lead-lag, root locus) and an introduction to discrete time systems. This new edition features many new and expanded sections on such topics as: solving stiff systems, operational amplifiers, electrohydraulic servovalves, using Matlab with transfer functions, using Matlab with frequency response, Matlab tutorial and an expanded Simulink tutorial. The work has 40% more end-of-chapter exercises and 30% more examples.

Dynamic Simulation of a Pilot Scale Vacuum Gas Oil Hydrocracking Unit by the Space‐Time CE/SE Method

“…The model functionality can be extended if a dynamic form is used so that the efforts made to satisfy dynamic optimization and control objectives as well as prediction of the dynamic behavior of the reactor during start-up or shutdown can be facilitated. Since spatial dependence is also important, the resulting dynamic model is a set of partial differential equations (PDEs) [12] that can be solved by the finite element method (FEM), the finite volume method (FVM) or the finite difference method (FDM).…”

Virtual Wind Speed Sensor for Wind Turbines

“…Dynamic modeling is widely used in control and engineering systems, chemistry, economics, and ecology (Hannon and Ruth 2001;Kulalowski et al 2007). A process can be abstractly considered as a dynamic multi-input-single-output (MISO) system.…”

Reduced Order Modeling for Virtual Building Commissioning

“…There exists a minimum number of variables, i.e. states, that when known can completely describe the system [12]. These states are measurable and for thermal systems they are the temperatures of the effective heat capacitances.…”