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Course Sector : Instrumentation & Controls
Duration | Date from | Date to | Course Venue | Course fees | Book a course |
---|---|---|---|---|---|
5 Days | 2025-04-14 | 2025-04-18 | Dubai | $4,250 | Book now |
5 Days | 2025-08-11 | 2025-08-15 | Online | $2,150 | Book now |
5 Days | 2025-10-20 | 2025-10-24 | Los Angeles | $5,950 | Book now |
5 Days | 2025-02-03 | 2025-02-07 | Dubai | $4,250 | Book now |
This 5-Day Advanced Process Control Strategies training program is designed for engineers, process control specialists, and operations managers who want to enhance their skills in managing and optimizing process systems. Through a blend of theoretical learning and hands-on applications, participants will explore advanced control methodologies such as Model Predictive Control (MPC), multivariable control, adaptive control, and real- time optimization. The training will also address industry-specific challenges, offering practical insights that can be directly applied to participants’ work environments. By the end of this program, attendees will possess the knowledge and tools to implement and manage advanced process control systems, significantly improving the reliability, efficiency, and performance of their industrial processes.
Overview of process control principles.
Basics of process dynamics, control loops, and feedback control systems.
Types of controllers: P, PI, PID.
Control systems architecture and strategies.
Advanced Process Control Fundamentals
Introduction to APC: definition and scope.
Importance of APC in modern industrial systems.
Key benefits of APC strategies (e.g., cost reduction, quality improvement).
Real-world applications of APC in industries like chemical, oil & gas, and manufacturing. Process Dynamics and Modeling
Process modeling techniques: First-principles, empirical models, and hybrid models.
Linear vs. nonlinear models.
Process dynamics: time delays, lags, and dead times.
Model Predictive Control (MPC)
Fundamentals of MPC: control objectives and design.
MPC vs traditional PID control.
Case studies on the implementation of MPC in various industries.
Multivariable Control Systems
Introduction to multivariable control systems.
Decoupling, interaction analysis, and advanced control strategies.
Design and implementation of decouplers in multivariable systems.
Cascade Control and Feedforward Control
Principles of cascade control: benefits and applications.
Feedforward control: when and how to implement.
Case studies and practical applications.
Adaptive Control Systems
Basics of adaptive control and its applications.
Model Reference Adaptive Control (MRAC) and Self-Tuning Regulators (STR).
Applications in industries requiring frequent adjustments to varying conditions.
Neural Networks and Fuzzy Logic in Process Control
Introduction to artificial intelligence in process control.
Neural networks: training, structure, and applications in control.
Fuzzy logic: fundamentals and implementation in process systems.
Real-Time Optimization (RTO)
Principles of real-time optimization in process systems.
Techniques and algorithms for implementing RTO.
Integration of RTO with process control systems.
APC Integration with Distributed Control Systems (DCS)
Understanding DCS architecture and its role in APC.
Integration of advanced control strategies with DCS and SCADA systems.
Practical considerations for integration and troubleshooting.
Performance Monitoring and Benchmarking
Key performance indicators (KPIs) in process control.
Techniques for measuring the effectiveness of APC systems.
Benchmarking APC performance across industries.
Troubleshooting and Diagnostics
Common challenges in APC systems and troubleshooting techniques.
Identifying faults, diagnosing issues, and rectifying performance problems.
Case studies of successful troubleshooting in APC applications.
Case Study 1: Chemical Industry Applications
APC strategies used in chemical manufacturing processes.
Detailed analysis of a case study and lessons learned.
Case Study 2: Oil and Gas Applications
Optimizing oil & gas operations with APC.
Real-world case study and challenges faced during implementation.
Simulation Tools for APC Design
Introduction to software tools for APC system design (e.g., MATLAB, Aspen Plus).
Simulation of control strategies in a virtual environment.
Hands-on session on building and testing models using simulation tools.
Control Software for MPC Implementation
Overview of control software used in MPC (e.g., Emerson DeltaV, Honeywell Experion).
Configuring and deploying advanced control strategies using control software.
Practical exercises on software configuration.
APC in Batch Processes
Unique challenges in controlling batch processes.
Implementing advanced control strategies in batch production.
Case studies of successful batch process APC applications.
APC for Energy Management
The role of APC in energy optimization.
Techniques for reducing energy consumption using advanced control.
Industry case studies on energy management and APC.
Implementing APC Strategies
Steps to implement APC strategies in an industrial environment.
Change management and process optimization considerations.
Overcoming resistance to APC implementation.
Future Trends in Process Control
Emerging technologies in APC (e.g., machine learning, digital twins).
The future of automation and smart manufacturing.
Trends in integrating IoT and APC for real-time decision-making.
BOOST’s Professional Attendance Certificate “BPAC”
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.
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