Lecture 9 – Modeling, Simulation, and Systems Engineering
Lecture 9 ? Modeling, Simulation, and Systems Engineering
? Development steps ? Model-based control engineering ? Modeling and simulation ? Systems platform: hardware, systems software.
EE392m - Spring 2005
Control Engineering
9-1
Gorinevsky
Control Engineering Technology
? Science
? abstraction ? concepts ? simplified models
? Engineering
? building new things ? constrained resources: time, money,
? Technology
? repeatable processes
? Control platform technology ? Control engineering technology
EE392m - Spring 2005
Control Engineering
9-2
Gorinevsky
Controls development cycle
? Analysis and modeling
? Control algorithm design using a simplified model ? System trade study - defines overall system design
? Simulation
? Detailed model: physics, or empirical, or data driven ? Design validation using detailed performance model
? System development
? Control application software ? Real-time software platform ? Hardware platform
? Validation and verification
? Performance against initial specs ? Software verification ? Certification/commissioning
EE392m - Spring 2005
Control Engineering
9-3
Gorinevsky
Algorithms/Analysis
Much more than real-time control feedback computations ? modeling ? identification ? tuning ? optimization ? feedforward ? feedback ? estimation and navigation ? user interface ? diagnostics and system self-test ? system level logic, mode change
EE392m - Spring 2005
Control Engineering
9-4
Gorinevsky
Controls analysis
Model-based Control Development
Conceptual Analysis
Control design model: x(t+1) = x(t) + u(t)
Conceptual control algorithm: u = -k(x-xd)
Application code: Simulink
Detailed simulation model
Validation and verification
Hardware-in-theloop sim
Detailed control application:
saturation, initialization, BIT, fault recovery, bumpless transfer
Prototype controller
Systems platform:
Run-time code, OS Hardware platform
Deployment
Physical plant
Deployed controller
System and software
EE392m - Spring 2005
Control Engineering
9-5
Gorinevsky
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