DCS & Process Automation Training Course

Course Overview

Learning Objectives

• Analyze the architecture, components, and operating principles of Distributed Control Systems during the first day of the course.
• Evaluate the relationship between field instrumentation, control systems, process equipment, and automation requirements.
• Apply process control principles and control loop concepts to improve industrial process stability and performance.
• Evaluate feedback, feedforward, and cascade control strategies and determine their appropriate industrial applications.
• Apply Proportional-Integral-Derivative control principles to tune control loops and improve process response.
• Develop practical approaches for alarm management, operational monitoring, and response to abnormal operating conditions.
• Evaluate the integration of DCS platforms with Programmable Logic Controllers, field instrumentation, industrial networks, and supervisory systems.
• Apply systematic troubleshooting techniques to identify control system faults and operational deviations.
• Evaluate maintenance, reliability, change management, and cybersecurity requirements for industrial control environments.
• Prepare an actionable improvement plan for DCS and process automation performance aligned with operational, reliability, safety, and efficiency objectives.

Who Should Attend

Learning Outcomes

• Explain the architecture, functions, and major components of Distributed Control Systems.
• Identify the relationship between field instruments, controllers, operator stations, process equipment, and automation systems.
• Analyze industrial control loops and identify factors affecting stability, response, and control performance.
• Apply feedback, feedforward, and cascade control principles to appropriate industrial process applications.
• Apply Proportional-Integral-Derivative control concepts to improve process stability and control loop performance.
• Evaluate alarm management practices and identify opportunities to improve operational monitoring and response.
• Analyze DCS integration with Programmable Logic Controllers, field devices, industrial networks, and supervisory systems.
• Troubleshoot common DCS, instrumentation, communication, and control loop problems using structured diagnostic methods.
• Evaluate maintenance, reliability, change management, and cybersecurity requirements for DCS environments.
• Develop a practical strategy for improving DCS and process automation performance in line with safety, reliability, productivity, and operational efficiency objectives.

Course Outline