Course Description
Industrial Instrumentation and Modern Control Systems training course starts off discussing aspects of transmitters, along with the modern choice of Fieldbus and HART and other communication aspects. It then delves into final control elements (many of them adjustable). This is followed by important aspects of pressure, level, temperature and flow.
The attendees will investigate the concepts of instrumentation and measurement and will acquire the knowledge relating to the characteristics and properties of the variables being measured. Moreover, the delegate will gain an understanding of the Process control systems and methods used in a modern industrial system
What Do Participants Learn?
- Define the role and objectives of instrumentation in any plant
- Understand the importance of process variables, in process control
- Develop their skills in selecting the right transmitter for an application
- Improve their skills process control strategies
- Correctly implement loop tuning strategies (using numerous methodologies)
- Understand the concept of model-based control
- Comprehend the intricacies of IMC and MPC strategies
Who Should Attend?
- Plant Management Personnel
- Engineers from all disciplines
- Processing Control Technicians
- Instrumentation Artisans
- Supervisors
- People dealing with instrumentation equipment selection
- Safety professionals
What Will the Learning Experience Include?
Phase: 1
Introduce
- Comprehensive pre-program activities include:
- Web-based information forms & surveys completed by attendee.
- Direct consultation with the attendee about the expectations.
- During the training, participants engage in data, activities, and conversations that lead to insight and knowledge.
- Participants learn from expert trainers who have both academic and business experiences.
- Highly applicable training content & instructive activities for adding depth to training topics.
- **A half-day site visit for integrating the experience & plan next steps. Opportunities to provide connections, ideas & support.
Phase: 2
Explore & Practice
Phase: 3
Apply
- Apply & sustain the learning experience by using this ongoing support:
- To ensure participant has new skills or behavior progress.
- Optional, fee-based mentoring & coaching with the trainer.
- Training materials & additional documents (e-books, pdf files, presentations and articles)
- Evaluate your training experience by giving us feedbacks and help us to reach our organizational goals.
- Participant's Evaluation
- Trainer's Evaluation
Phase: 4
EVALUATE
Section One: Introduction to Process Variable Measurement
- Sensors, Transducers and Instrumentation Systems
- Instrumentation Signals
- Instrumentation Terms and Definitions
- HART Protocol
- Fieldbus
- Digital Communication and Techniques
- A quick introduction to final control elements (including control valves, VSD and VFD)
Section Two: Pressure, Level, Temperature, and Flow Measurement
- Pressure Measurement - principle of operation, devices, typical uses and installation considerations
- Level Measurement - principle of operation, devices, typical uses and installation considerations
- Temperature Measurement - principle of operation, devices, typical uses and installation considerations
- Flow Measurement - principle of operation, devices, typical uses and installation considerations
Section Three: Process Control
- Process Dynamics
- Process Stability
- Process Responses
- Types of control that may be implemented
- The P part of PID Control
- The I part of PID Control
- The D part of PID Control
- Cascade Control
Section Four: Advanced Control and Loop Tuning Strategies using Digital Controllers
- Ratio control
- Combined feedforward and feedback control
- Open-loop tuning methods, using formulae
- Closed-loop tuning methods, using formulae
- Open-loop tuning, using trial and error
- Closed-loop tuning, using trial and error
- Dealing with processes that have large dead time
Section Five: Model-Based Control, where a PID Controller isn’t the Preferred Option
- Using a model-based controller
- Using a Smith Predictor
- Understanding Internal Model Control (IMC)
- Using a Dahlin's Controller
- Understanding and implementing Model Predictive Control (MPC)