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Course Code: ICC 1705
55 Course Visits
Advanced Process Control and Loop Tuning
Course Sector:
Instrumentation & Controls
Course Dates and Locations
Choose a date and location to book your seat
No.
Date
Days
Location
Fees
Enrollment
01
4 Days
Los Angeles , USA $5,950
02
4 Days
Abu Dhabi, UAE $4,250
Introduction
Training course introducion / brief
This course offers an in-depth exploration of advanced process control strategies and loop tuning techniques to optimize industrial processes. Participants will gain a solid foundation in control theory, develop skills in implementing advanced control strategies, and enhance their understanding of dynamic behavior in process loops. Through practical examples, case studies, and hands-on exercises, attendees will be equipped with the necessary tools to optimize process performance, improve efficiency, and reduce variability in operations.
Course Objectives
At the end of the training course, participants will be able to
- Understand the principles of process control and its applications in industrial settings.
- Apply advanced process control techniques to optimize plant performance.
- Analyze and fine-tune control loops for improved efficiency and reduced variability.
- Troubleshoot control systems and solve common process control problems.
- Implement control strategies to enhance process stability and productivity.
Course Audience
Who is this course for, and can benefit the most
- Process control engineers and technicians.
- Plant operators involved in process optimization.
- Instrumentation engineers and control system specialists.
- Maintenance personnel responsible for control systems.
- Engineers interested in improving loop tuning and control processes
Course Outline
The course aims and learning outcomes
Fundamentals of Process Control
Session 1: Introduction to Process Control Concepts- Overview of process control systems in industrial
environments.
- The role of control systems in process optimization.
- Breakdown of control loop elements: sensors, controllers,
actuators.
- Types of control loops: open-loop and closed-loop systems.
- Understanding dynamic behavior in processes.
- Analyzing first-order and second-order systems.
- Time delays, process gain, and process response
characteristics.
- Proportional-Integral-Derivative (PID) control theory.
- Tuning and adjustments for PID controllers.
- Advanced PID control techniques for optimal process stability.
Advanced Process Control Strategies
Session 1: Introduction to Advanced Process Control (APC)- The need for advanced control techniques in modern plants.
- Overview of advanced control strategies: feedforward, cascade,
ratio, and model predictive control (MPC).
- Feedforward control: design and implementation.
- Cascade control: configuration and benefits.
- Practical examples of feedforward and cascade control
applications.
- Fundamentals of MPC and its role in dynamic systems.
- Designing MPC systems and managing constraints.
- Application of MPC for multi-variable process control.
- Real-world case studies highlighting the use of advanced
control systems.
- Practical exercises on implementing and tuning APC systems.
Loop Tuning and Performance Optimization
Session 1: Loop Tuning Fundamentals- Importance of loop tuning for process optimization.
- Basic and advanced tuning techniques.
- Criteria for evaluating control loop performance.
- Ziegler-Nichols tuning method.
- Cohen-Coon method for loop tuning.
- Implementing tuning methods for different processes.
- Introduction to tuning software and tools.
- Auto-tuning systems for PID controllers.
- Benefits of software-based loop tuning for complex systems.
- Identifying and solving common control loop issues.
- Best practices for troubleshooting process control systems.
- Real-world examples and group problem-solving exercises.
Process Control Implementation and Future Trends
Session 1: Control System Integration and Implementation- Integration of advanced process control into existing systems.
- Managing and optimizing multi-loop control systems.
- Tools and techniques for evaluating system performance.
- Implementing performance monitoring and continuous improvement
processes.
- Digitalization and smart process control systems.
- Role of artificial intelligence and machine learning in
control systems.
- Predictive analytics for proactive process optimization.
- Case study to integrate all concepts learned in the course.
- Group presentations and feedback.
- Q&A session and course summary.
Providers and Associations
Providing the best training services and benefits to our valued clients
Boost certificate of completion
BOOST's Professional Attendance Certificate “BPAC” is always given to the delegates after completing the training course, and depends on their attendance of the program at a rate of no less than 80%, besides their active participation and engagement during the program sessions.
ENDORSED EDUCATION PROVIDER
Flexible deadlines
Customized dates accordance to your schedule
Shareable Certificate
Earn certificate upon completion
COURSE METHODOLOGY
Our Training programs are implemented by combining the participants' academic knowledge and practical practice (30% theoretical / 70% practical activities).
At The end of the training program, Participants are involved in practical workshop to show their skills in applying what they were trained for. A detailed report is submitted to each participant and the training department in the organization on the results of the participant's performance and the return on training. Our programs focus on exercises, case studies, and individual and group presentations.
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