Process Control Training
This course covers the function of basic devices for measuring and controlling different kinds of variables in process control. Introduces closed-loop control and PID functions. Introduces maintenance of analog and digital devices and programmable logic controllers (PLCs). ISA and SAMA instrumentation symbols and interpretation and use of process diagrams are covered. This course has no prerequisites. Introduction to Process Control is available in online technical training and course manual formats.
What Will I Learn?
- Learn the essentials of process control and instrumentation for a successful career in process industries
- Understand the main terms and parameters of process control (Process variable PV, Set point SP, Operating point OP, Error, Offset, Load disturbance...)
- Identify the different control loops and describe their main tasks
- Describe the basic function and method of operation for the main control loop components (Transducer, Converter, Transmitter, Indicator, Recorder, Controller...)
- Given a piping and instrumentation drawing (P&ID), correctly identify, interpret and label the instrument, location and signal type symbols
- Differentiate between discrete, multistep, and continuous controllers
- Describe the general goal of controller tuning
- Describe the basic mechanism, advantages and disadvantages of the following mode of controller action : Proportional, Integral and Derivative
- Identify the basic implementation of P, PI and PID control in the following types of loops : Pressure, Flow, Level and Temperature loops
- Differentiate feedback and feedforward control loops
- Diagram the process control loop using ISA symbology
- Explain the basic implementation process for each of the following types of control : Cascade, Split range , Batch, Ratio and Selective controls
- Understand through extensive 3D animation the techniques and methods used in process industries to measure temperature, pressure, flow and level
Course Curriculum
Basic Probability and Terminology
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Fundamentals of Probability
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Events and Complements
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Measures of Central Tendency
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Variance & Standard Deviation
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Search Sort Algorithms