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Control Engineering: Control engineering or Control systems engineering is based on the foundations of feedback theory and linear system analysis, and it integrates the concepts of network theory and communication theory It is the engineering discipline that applies control theory to design systems with predictable behaviors
Introduction to Control Systems In this lecture, we lead you through a study of the basics of control system After completing the chapter, you should be able to Describe a general process for designing a control system Understand the purpose of control engineering Examine examples of control systems
definition, implementation, integration and operations of a system (product or service) with the emphasis on the satisfaction of stakeholder functional, physical and operational performance requirements in the intended use environments over its planned life cycle within cost and schedule constraints Systems Engineering includes the engineering
Systems Engineering Key Lessons •Truth of DeLuca’s Law (from Political Savvy) –[Space System development is] Not a rational system that happens to involve humans, but a human system attempting to act rationally •Configuration control is good –Even very early in project life cycle •All mistakes are stupid –We miss the obvious
Control Systems K Craig 22 • In a real sense, the problems of analysis and design of digital control systems are concerned with taking into account the effects of the sampling period, T, and the quantization size, q • If both T and q are extremely small (i e , sampling frequency 50 or more times the system bandwidth
Control theory is a relatively new field in engineering when compared with core topics, such as statics, dynamics, thermodynamics, etc Early examples of control systems were developed actually before the science was fully understood For example the fly?ball governor developed by James Watt to control