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Process
Models. Static
models, Dynamic models, Step response methods-Two parameter model, three
parameter model, four parameter model, Models for oscillatory systems Methods of
moments. Disturbance models-measuring noise characteristics Controller
Principles Process
characteristics -process equations, process loads, process lag, self regulation,
Control system parameters - error, variable range, control parameter range,
control lag, dead time , cycling Controller
modes: Ø
Discontinuous-two position, multi- position, floating control Ø
Continuous - proportional, integral, derivative & composite modes Ø
Control paradigms: cascade control, feed forward network, Neural
networks- basic concepts(neuron) feed forward network, learning &
applications), Fuzzy control(elements of fuzzy logic, fuzzy controller fuzzy
inference, defuzzification) Tuning
of Controllers Criteria
for controller tuning - Specified decay ratio, minimum integral of absolute
error ( IAE ) minimum integral of time and absolute error( ITAE ) Closed
loop response methods - ultimate method, damped oscillation method Process
reaction curve ad open loop tuning. Programmable
Logic Controllers ISA logic symbols, Ladder diagrams, Relay sequencers, Programmable controllers- functional diagram, operation, programming. |
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