Process Control Certification Training Course

Why Select this Training Course?

Navigating the complexities of process control requires an astute understanding of diverse systems and the integration of modern technologies. Our Process Control Certification Course is meticulously designed to guide professionals through the nuanced aspects of advanced process control, ensuring that you are well-equipped to enhance system efficiency and reliability.

Why and how is expertise in process control important?

Expertise in process control is not just a nice to have. It enables the performance of a plant or factory to be maintained at optimum, product quality to be fine-tuned and resources to be efficiently utilized. With these competencies, you will become part of a team that is working on manufacturing or service delivery at the highest possible level.

What do process control techniques allow you to do?

Your understanding of the latest control methodologies and the technological options which are available will allow you to lead the development of new projects and system optimization that can save a huge amount of money for any organization. This will also enable you to continue moving ahead in your career and take on role which can have a real impact on the future direction of industrial operations.

Who Should Attend?

The course is designed for individuals in roles such as:

• Process Engineers
• Control System Engineers
• Automation Engineers
• Instrumentation Engineers
• Maintenance Technicians
• Operations Managers
• System Integrators

What are the Course Objectives?

Upon completion, participants will:

• Gain hands-on experience with the latest process control software and hardware.
• Develop problem-solving strategies for control system issues.
• Be adept in the design, implementation, and maintenance of control systems.
• Be well-prepared to innovate and enhance process efficiencies.
• Understand advanced process control concepts and systems.

How will this course be presented?

The course includes:

• Interactive lectures rich with industry relevance.
• Practical sessions in state-of-the-art laboratories.
• Collaborative projects to solve real-world problems.
• Seminars led by subject matter experts.
• Case study analyses to bridge theory and practice.

What are the Topics Covered in this Course?

Module 1: Comprehensive Control System Analysis

• Overview of control systems and their industrial significance.
• Deep dive into sensors and transducers: types, applications, and selection.
• Signal conditioning and conversion for optimal data integrity.
• Interpreting P&ID diagrams for system comprehension.
• Fundamentals of feedback and feedforward control strategies.
• Control valve mechanics, selection, and sizing.
• Anatomising control loops: Components and their functions.
• Tuning control loops for peak performance.
• Integration of SIS (Safety Instrumented Systems) in process control.
• Modern SCADA systems and their applications in industry.
• Role of DCS (Distributed Control Systems) in process automation.

Module 2: Advanced Process Control Strategies

• Designing control systems for multivariable processes.
• Application of PID enhancements: cascade, ratio, and override control.
• Adaptive and robust control methodologies.
• Real-time optimisation approaches for dynamic systems.
• State-based control execution for sequence-driven processes.
• Designing plant-wide control strategies for unified operations.

Module 3: Programming, Simulation, and Modelling

• PLC and DCS programming languages and techniques.
• Process modelling and simulation for design and analysis.
• Implementing advanced algorithms in process control.
• System identification and model predictability capabilities.
• Digital twins and their impact on operational excellence.
• Developing virtual control systems for testing and training.
• Application of batch process control in various industries.
• Constructing operator training simulators.
• Techniques for effective alarm management.
• Cybersecurity measures within control system programming.
• Exploring artificial intelligence in process automation.
• Leveraging data for predictive maintenance and analytics.
• Compliance with international programming standards and practices.

Module 4: Control Equipment and Instrumentation

• Calibration, selection, and maintenance of instrumentation.
• Understanding actuators and drives for precise operation.
• Selecting appropriate types of control valves and positioners for specific processes.
• Incorporating variable speed drives in control loops.
• Advancements in instrumentation for improved process control.
• Criteria for choosing the right measurement techniques.
• Employing redundancy in instrumentation for reliability.
• Reviewing the latest smart devices and field equipment.

Module 5: Process Control Networks and Communication

• Industrial network design and protocols.
• Best practices for communication in process control environments.
• Ensuring data integrity and signal quality over networks.
• Wireless process control communication and its implications.
• Strategies for network security and preventing data breaches.

Module 6: Integration of Renewable Energies in Process Control

• Principles of renewable energy sources and their incorporation into control systems.
• Adjusting control strategies to accommodate renewable energy variability.
• Energy storage technologies and their role in process stability.
• The convergence of traditional and renewable energy systems in process control.

Module 7: Environmental and Safety Compliance

• Regulatory frameworks guiding process control (e.g., OSHA, EPA).
• Implementing control
• Strategies for sustainable and eco-friendly process control practices.
• Hazard Analysis and Risk-Based Control: methodologies and applications.
• Safety Instrumented Systems: design principles and real-life applications.
• Compliance with global directives such as REACH, RoHS, and WEEE.
• Emergency shutdown (ESD) systems and response strategies.
• Documentation and reporting procedures for regulatory adherence.

Module 8: Industrial Internet of Things (IIoT) and Connectivity

• Embracing the IIoT for enhanced process control and data acquisition.
• Leveraging machine-to-machine (M2M) communication for efficiency.
• Integration of smart sensors and devices into control systems.
• Data analytics and edge computing for real-time decision-making.
• Use cases demonstrating IIoT’s role in process optimization.
• The role of cloud platforms in process control and device management.
• Interoperability challenges and solutions in mixed-equipment environments.
• Cybersecurity considerations for connected control systems.
• Predictive maintenance strategies enabled by connected devices.

Module 9: Emerging Technologies in Process Control

• Integration of augmented reality (AR) in maintenance and training activities.
• Quantum computing for simulation and optimization.
• Blockchain in the supply chain and process verification.
• Advanced materials such as graphene into sensor technology.
• Nanotechnology for measurement and control.
• The implementation of energy harvesting for self-powered instruments.
• Bio-inspired control methods for unconventional problem-solving.
• The impact of big data on process control and decision-making.
• Advances in wireless communication for industrial applications.
• Semantic technologies in automation engineering.
• Autonomous robots in manufacturing processes and operations.
• Machine learning for pattern recognition and control strategy development.
• Smart diagnostics and prognostics for system monitoring health.