Control of mechatronic systems: model-driven design and implementation guidelines

Implementing digital control within mechanical-electronic (mechatronic) systems is essential to respond to the growing demand for high-efficiency machines and processes. In practice, the most efficient digital control often integrates time-driven and event-driven characteristics within a single control scheme. However, most of the current engineering literature on the design of digital control systems presents discrete-time systems and discrete-event systems separately. Control Of Mechatronic Systems: Model-Driven Design And Implementation Guidelines unites the two systems, revisiting the concept of automated control by presenting a unique practical methodology for whole-system integration. With its innovative hybrid approach to the modeling, analysis, and design of control systems, this text provides material for mechatronic engineering and process automation courses, as well as for self-study across engineering disciplines. Real-life design problems and automation case studies help readers transfer theory to practice, whether they are building single machines or large-scale industrial systems.

Front Matter -- Introduction to the Control of Mechatronic Systems -- Physics-Based Systems and Processes: Dynamics Modeling -- Discrete-Time Modeling and Conversion Methods -- Discrete-Time Analysis Methods -- Continuous Digital Controller Design -- Boolean-Based Modeling and Logic Controller Design -- Hybrid Controller Design -- Mechatronics Instrumentation: Actuators and Sensors -- Stochastic Modeling -- Step Response Modeling -- Z-Transform Tables -- Boolean Algebra, Bus Drivers, and Logic Gates -- Solid-State Devices and Power Electronics.