Introduction to Process Control
Consultant/Trainer: Clive Beeby
Master Process Control & Optimize Your Operations
Are you struggling with unstable processes, frequent deviations, or inefficiencies in your plant? Poor process control can lead to wasted resources, higher costs, and safety risks. This course equips you with the essential knowledge and practical skills to improve control strategies, stabilize operations, and enhance efficiency.
Join now and gain the confidence to troubleshoot, optimize, and take control of your plant’s performance.
Secure your place today!
Are you struggling with unstable processes, frequent deviations, or inefficiencies in your plant? Poor process control can lead to wasted resources, higher costs, and safety risks. This course equips you with the essential knowledge and practical skills to improve control strategies, stabilize operations, and enhance efficiency.
Join now and gain the confidence to troubleshoot, optimize, and take control of your plant’s performance.
Secure your place today!
Cost
€3200
Location
Kuala Lumpur, Malaysa
Dates
H1 2026, dates to be confirmed
About the Trainer
Clive is a seasoned process control engineer with extensive experience in refining and LNG operations. Specializing in base layer control, process automation, and multivariable predictive control, he has led projects from design to commissioning. A co-inventor of multiple patents and a published author, Clive combines technical expertise with hands-on experience. He has also trained engineers globally, sharing his knowledge of process control fundamentals and advanced techniques. Clive’s practical insights and problem-solving approach make him the ideal trainer for mastering process control in real-world applications.
Participants
The ideal participants for this course include:
- Process Engineers – Improve plant stability and efficiency by mastering control strategies.
- Control & Automation Engineers – Strengthen foundational knowledge to optimize control systems.
- Operations Engineers – Gain insights into maintaining smooth and reliable operations.
- Instrument & Control Technicians – Enhance troubleshooting skills for process control loops.
- Shift Supervisors & Operations Staff – Understand how control systems impact day-to-day operations.
Learning Objectives
By the end of this course, participants will understand fundamental process control principles and be able to analyze and troubleshoot control loops, including PID control. They will learn to design and implement base layer control strategies and explore advanced systems like multivariable predictive control and anti-surge control. The course will also focus on optimizing process performance, improving stability, efficiency, and safety, while developing troubleshooting skills and highlighting the impact of process control on plant reliability and profitability.
The course is presented over 3 days with regular breaks and time allowed to follow up participant queries on the concepts covered.
Day 1
- Introduction
- Presenter introduction
- Participants introduction
- What is Process Control?
- Course outline
- PID Controller tuning
- Importance of PID tuning to overall plant performance.
- PID control description including the elements of the PID control loop
- First Order plus Deadtime process model
- Tuning parameters
- Tuning a controller including examples on a controller simulation and covering the differences in control of the main process parameters of flow, temperature, pressure, and level.
- Base Layer Control Review
- Why do it?
- How to do it?
Day 2
- Base Layer Control
- PID control
- Cascade control
- Split Range
- Override control
- Static decoupling
- Furnace coil balancing
- Air/fuel ratio control
- Compressor control
- Quality Estimators
- Why use them?
- Simple linear regression or calculation
- Commercially available products.
Day 3
- Multivariable Predictive Control (MPC)
- Why use it?
- General MPC characteristics.
- APC project outline.
- Online Optimisation
- Why use it?
- Online Optimisation elements
- Online Optimisation project outline
- Example scope of an online optimiser.
- Dynamic Process Simulation
- Why use it?
- General structure
- Control system troubleshooting
- What goes wrong?
- Control system monitoring through automation and interaction with users.
- Analysis and resolution
- Final Q & A
Programme
The course is presented over 3 days with regular breaks and time allowed to follow up participant queries on the concepts covered.
Day 1
- Introduction
- Presenter introduction
- Participants introduction
- What is Process Control?
- Course outline
- PID Controller tuning
- Importance of PID tuning to overall plant performance.
- PID control description including the elements of the PID control loop
- First Order plus Deadtime process model
- Tuning parameters
- Tuning a controller including examples on a controller simulation and covering the differences in control of the main process parameters of flow, temperature, pressure, and level.
- Base Layer Control Review
- Why do it?
- How to do it?
Day 2
- Base Layer Control
- PID control
- Cascade control
- Split Range
- Override control
- Static decoupling
- Furnace coil balancing
- Air/fuel ratio control
- Compressor control
- Quality Estimators
- Why use them?
- Simple linear regression or calculation
- Commercially available products.
Day 3
- Multivariable Predictive Control (MPC)
- Why use it?
- General MPC characteristics.
- APC project outline.
- Online Optimisation
- Why use it?
- Online Optimisation elements
- Online Optimisation project outline
- Example scope of an online optimiser.
- Dynamic Process Simulation
- Why use it?
- General structure
- Control system troubleshooting
- What goes wrong?
- Control system monitoring through automation and interaction with users.
- Analysis and resolution
- Final Q & A