Introduction

Process Control in Plants is a critical discipline in modern industrial automation, focusing on the regulation, monitoring, and optimization of physical and chemical processes in manufacturing environments. Process Control in Plants Training Course provides a comprehensive foundation in advanced process control systems, industrial automation, SCADA integration, PLC-based control, PID tuning, real-time optimization, and smart manufacturing technologies. Participants will gain hands-on knowledge of how to stabilize processes, reduce variability, improve product quality, and enhance operational efficiency across industries such as oil & gas, chemical processing, power generation, pharmaceuticals, water treatment, and food production.

With the rapid evolution of Industry 4.0, IoT-enabled process control, AI-driven predictive control, digital twin technology, and advanced instrumentation systems, modern plants demand highly skilled professionals who can manage complex control loops and automated systems. This course bridges the gap between theory and industrial application by focusing on real-time process optimization, control loop diagnostics, automation architecture, and data-driven decision-making to ensure maximum plant reliability, safety, and productivity.

Programme Curriculum

Process Control in Plants Training Course

Introduction

Course Duration

5 days

Course Objectives

Master fundamentals of industrial process control systems
Understand PID control tuning and loop optimization techniques
Apply SCADA systems for real-time monitoring and control
Configure and troubleshoot PLC-based automation systems
Analyze process dynamics and control loop behavior
Implement advanced regulatory and supervisory control strategies
Utilize Industrial IoT (IIoT) for smart plant operations
Apply predictive maintenance using process data analytics
Optimize plant efficiency using energy management systems
Design and interpret P&ID (Piping and Instrumentation Diagrams)
Integrate DCS (Distributed Control Systems) in industrial plants
Enhance safety using alarm management and interlock systems
Apply digital twin and simulation models for process optimization

Target Audience

Process Engineers
Instrumentation & Control Engineers
Maintenance Technicians
Plant Operators & Supervisors
Automation Engineers
Chemical & Manufacturing Engineers
Energy & Utility Plant Personnel
Technical Managers & Industrial Consultants

Course Modules

Module 1: Fundamentals of Process Control Systems

Process variables: flow, pressure, temperature, level
Open-loop vs closed-loop control systems
Industrial instrumentation overview
Sensors and transmitters in process industries
Case Study: Temperature control in a chemical reactor stabilizing output quality

Module 2: PID Control and Loop Tuning

Proportional, Integral, Derivative control theory
PID tuning methods
Loop stability and response analysis
Common tuning errors and corrections
Case Study: Optimizing boiler drum level control in a power plant

Module 3: PLC-Based Automation Systems

PLC architecture and programming basics
Ladder logic fundamentals
Input/output modules and wiring
Troubleshooting PLC faults
Case Study: Automated bottling plant control system

Module 4: SCADA Systems and Industrial Monitoring

SCADA architecture and communication protocols
Real-time data acquisition and visualization
Alarm handling and event logging
Remote plant monitoring systems
Case Study: Water treatment plant SCADA integration

Module 5: Distributed Control Systems (DCS)

DCS structure and components
Control room operations and interfaces
Redundancy and reliability systems
Process control hierarchy
Case Study: Oil refinery distributed control optimization

Module 6: Advanced Process Control Strategies

Feedforward and cascade control
Ratio and split-range control
Multivariable control systems
Adaptive control techniques
Case Study: Chemical blending process optimization

Module 7: Industrial IoT & Smart Manufacturing

IIoT architecture in process industries
Cloud-based monitoring systems
Edge computing in plant automation
Data integration from sensors and devices
Case Study: Smart predictive maintenance in manufacturing plant

Module 8: Safety, Optimization & Digital Twin

Alarm management systems
Safety Instrumented Systems (SIS)
Energy optimization techniques
Digital twin simulation models
Case Study: Digital twin implementation in a power generation facility

Training Methodology

Interactive lectures and presentations.
Group discussions and brainstorming sessions.
Hands-on exercises using real-world datasets.
Role-playing and scenario-based simulations.
Analysis of case studies to bridge theory and practice.
Peer-to-peer learning and networking.
Expert-led Q&A sessions.
Continuous feedback and personalized guidance.

Register as a group from 3 participants for a Discount

Send us an email: info@fineskilltrainingcenter.org or call +254769199797

Certification

Upon successful completion of this training, participants will be issued with a globally- recognized certificate.

Tailor-Made Course

We also offer tailor-made courses based on your needs.

Key Notes

a. The participant must be conversant with English.

b. Upon completion of training the participant will be issued with an Authorized Training Certificate

c. Course duration is flexible and the contents can be modified to fit any number of days.

d. The course fee includes facilitation training materials, 2 coffee breaks, buffet lunch and A Certificate upon successful completion of Training.

e. One-year post-training support Consultation and Coaching provided after the course.

f. Payment should be done at least a week before commence of the training, to Fineskill Training Center account, as indicated in the invoice so as to enable us prepare better for you.

Skills & Software Covered

Process monitoring Automation control Quality control System optimization

Programme Fee

Duration: 5 Days

Method: Online or Physical

Online Price: $1,000

Physical Price: $1,500

Certification: Accredited Certificate

View Available Dates 📄 Download Course Outline (PDF)

Available Sessions

Location

Month

Year

Nov 02 2026

02 Nov — 06 Nov 2026

💻 Online / Virtual session

Online $1,000