Advanced Instrumentation and Process Control.
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Advanced Instrumentation and Process Control. Course
Introduction:
This advanced course covers methodologies of industrial process control and the instrumentation used for it in typical process plants. It elaborates various sensors and its working principle, specifications, and design and selection aspects used for sensing various process parameters along with the merits and limitations of each type of sensor. The course would also build the knowledge of the participants related to working principles of control loop components, the control strategies, and the PID controller fundamentals including the terminology, algorithms, and tuning methods. Special emphasis on real-life implementations, case studies, and international standards would ensure participants to co-relate the theory with their day to day practice. A brief introduction to multivariable control would help the participants to enhance their exposure related to complex control. This course is designed more for engineers but also will offer tremendous value to operators, technicians, and supervisors.
Course Objectives:
At the end of this training, participants will be able to:
- Specify and design instrumentation systems for pressure, level, temperature, and flow.
- Understand the objectives of industrial process control
- Know the Process Control Dynamics and Transfer Functions
- Understand Open and Closed Loop Control
- Understand sensor fundamentals
- Learn various sensors used for measurement of process parameters such as temperature, flow, pressure, level, etc. covering the principle of operation, specifications, etc.
- Have knowledge on Transmitters and Intelligent Instrumentation
- Understand the working of Control Loop Components
- Gain knowledge on PID control strategy and its real-life implementation
- Know the art of PID controller tuning
- Identify a large number of industrial analytical measuring instruments.
- Describe the construction and operation of the most important analytical instruments.
- Be able to conduct the following types of measurement; pH, conductivity, turbidity, hygrometry, dissolved oxygen, total free chlorine, and on-line chromatography.
- Implement procedures for testing and calibration of analytical instruments.
- Correctly select and size control valves for any particular application.
- Troubleshoot and identify problems with instrumentation systems.
- Isolate control loops and identify a faulty instrument
Who Should Attend?
Process Control Engineers, Advanced Process Control Engineers, Instrument Engineers, Lab Technicians, DCS/PLC Technicians, Managers, Supervisors. All those who are interested in acquiring knowledge in the field of measurement and process control. The course will definitely be beneficial for the all the other department people concerned with the plant operations, maintenance, and safety.
Course Outlines:
- Background and Evolution of Process Control/ Automation
- Basic Concepts – Open /Close loop
- Concepts of Industrial Process Control
- Need for Automatic Process Control
- Process Control Dynamics and Transfer Functions
- Sensors and Transducer and its Characteristics
Principle of working, specifications, merits and limitations, selection criteria for the following sensors:
- Temperature Measurement
- Pressure Measurement
- Flow Measurement
- Level Measurement
- Position Sensing
- Process Parameter Switches: Pressure, Level, Flow, and
- Temperature Switches
- Feedback Control Block Diagram and Concepts
- Standard Signals, SMART Transmitter
- I to P Converter, Control Valves, Actuators and Positioner
- Process Characteristics, Lags in Control loop
- Controllers and Control Actions: ON-OFF, Proportional,
- Integral, Derivative
- PID Controllers: Algorithms, forms, terminology, selection
- Microprocessor-based Controllers
- Tuning of Controllers
- Transforming process operating information into Controller
- Tuning
- Process Control Schematics
- Multivariable Control
- Application of Multi-Variable Control
- Cascade Control, Ratio Control
- Selective Control, Feedforward Control
- Model-based Control
- Advanced Process Control Concepts
- Model Predictive Control
- Fuzzy Logic Control
- Neural Network Control
