Various plants have distinct control needs, and it is widely recognized that no single technique can address all the control challenges faced by modern plants. Due to the inherent limitations of PID (Proportional-Integral-Derivative) algorithms in terms of performance, more advanced control strategies are necessary.

The application of computer-based technologies in implementing Advanced Process Control (APC) offers numerous advantages. These advantages include enhancing product yield, reducing energy consumption, increasing capacity, improving product quality and consistency, minimizing product giveaway, enhancing responsiveness, improving process safety, and reducing environmental emissions. In fact, the implementation of Advanced Process Control has been reported to yield benefits ranging from 2% to 6% of operating costs.

Course Objectives:

This workshop, Advanced Process, and Regulatory Control is designed to provide engineers and technicians with the skills required to draw upon elements from many disciplines ranging from Control Engineering; Signal Processing; Statistics; Decision Theory; Artificial Intelligence; and hardware and software engineering.

Who Should Attend?

Professionals involved in designing, selecting, sizing, specifying, installing, testing, operating and maintaining Advanced Process Control systems

Automation Engineers
Chemical Engineers
Consulting Engineers
Design Engineers
Electrical Engineers
Installation and Maintenance Technicians
Instrument and Process Control Engineers and Technicians
Maintenance Engineers
Mechanical Engineers and Technicians
Operations Engineers
Process Engineers
Production Managers
Project Managers
System Integrators

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
Practical Rules and pressure Measurement
Level Measurement
Temperature Measurement
Flow Measurement
Control Valves
Process Considerations
Transmission of Measurement Signals
Basic Control Concepts
Complex Control Systems
Computer Control Systems
Networks

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