• Overview
• Specifications
• References

Requirements

Description

• English Description
  
  Measurements and control in closed loop control. Physical quantities and transducers. Static and dynamic specifications of transducers. Displacement, velocity, and acceleration transducers. Strain gauges and Wheatstone bridge. Thermal transducers. Pressure, flow, and level transducers. Analog signal conditioning and transmission. Digitizing analog signals (D/A, A/D). Data acquisition systems in digital control loops. PC interfaces through standard IO bus cards and parallel and serial interfaces and their drivers. Programmable controllers. Power interfacing (power amplifiers and thyristors). Control valves. Electronic/pneumatic PID controllers. Modeling principles and simulation: Methodology for model building, Modeling of distributed systems, Modeling of process dead-time, Experimental approach to model building, Nonlinear mathematical modeling, Linearization techniques. Modeling of chemical process plant, heat exchanger, binary distillation column, chemical reactor, iron making and steel making, turbo-generators in electric power systems, generator, exciter, transmission system, boiler and turbine, manufacturing systems, mechanization and automation. Numerical control. Computer-aided manufacture. Illustrative examples. Simulation of physical systems.
• Arabic Description
  
  Measurements and control in closed loop control. Physical quantities and transducers. Static and dynamic specifications of transducers. Displacement, velocity, and acceleration transducers. Strain gauges and Wheatstone bridge. Thermal transducers. Pressure, flow, and level transducers. Analog signal conditioning and transmission. Digitizing analog signals (D/A, A/D). Data acquisition systems in digital control loops. PC interfaces through standard IO bus cards and parallel and serial interfaces and their drivers. Programmable controllers. Power interfacing (power amplifiers and thyristors). Control valves. Electronic/pneumatic PID controllers. Modeling principles and simulation: Methodology for model building, Modeling of distributed systems, Modeling of process dead-time, Experimental approach to model building, Nonlinear mathematical modeling, Linearization techniques. Modeling of chemical process plant, heat exchanger, binary distillation column, chemical reactor, iron making and steel making, turbo-generators in electric power systems, generator, exciter, transmission system, boiler and turbine, manufacturing systems, mechanization and automation. Numerical control. Computer-aided manufacture. Illustrative examples. Simulation of physical systems.