This Complete Guide to Control Systems and Automation training course offers a transformative learning experience for professionals in industrial automation. Designed to address the challenges of modern control systems, this course equips participants with practical skills to optimize operations, reduce downtime, and embrace cutting-edge technologies. From foundational concepts to advanced techniques, participants will learn to navigate the complexities of PLCs, field devices, communication protocols, and IoT integration, making them indispensable assets to their organizations.
Through these immersive training days of hands-on training, participants will gain confidence in designing, configuring, and troubleshooting automation systems. This training course emphasizes real-world applications, including energy optimization, predictive maintenance, and risk mitigation strategies. Participants will also explore the revolutionary concepts of Industry 4.0, Digital Twins, and AI/ML to stay ahead in the rapidly evolving field of automation.
This Energy Training Centre training course will highlight:
- Key concepts of control systems and field devices.
- Practical skills in system design and troubleshooting.
- Techniques for energy-efficient automation and optimization.
- Integration of IIoT, cybersecurity, and predictive maintenance.
At the end of this The Complete Guide to Control Systems and Automation training course, you will learn to:
- Understand and apply core control system principles.
- Design and configure efficient automation systems.
- Analyze and optimize energy use in control systems.
- Develop and implement predictive maintenance strategies.
- Integrate Industry 4.0 technologies and cybersecurity best practices.
This training course uses interactive lectures, practical hands-on sessions, and collaborative activities to ensure an engaging and effective learning experience. Participants will analyze case studies, and engage in group problem-solving exercises, bridging theoretical concepts with practical application.
The organization will have the following benefits:
- Enhanced employee proficiency in modern automation technologies.
- Reduced downtime through advanced troubleshooting capabilities.
- Improved system reliability and energy efficiency.
- Adoption of predictive maintenance and Industry 4.0 solutions.
- Strengthened cybersecurity for industrial networks.
- Increased operational efficiency and innovation.
At the end of this The Complete Guide to Control Systems and Automation training course, the participants will gain the following:
- Advanced knowledge of control systems and automation.
- Practical skills in PLC and HMI.
- Improved troubleshooting and optimization techniques.
- Insights into IoT, AI/ML, and cybersecurity in automation.
- Confidence in handling real-world industrial challenges.
- Enhanced career opportunities and professional growth.
This The Complete Guide to Control Systems and Automation training course is suitable for a wide range of professionals seeking to enhance their expertise in automation and control systems. It is particularly beneficial for:
- Engineers responsible for automation design and maintenance.
- Technicians managing control system troubleshooting.
- Managers overseeing operational and automation projects.
- Operators looking to deepen their understanding of automated systems.
- Professionals transitioning into roles requiring advanced control system knowledge.
Day One: Fundamentals of Control Systems and Automation
Introduction to Control Systems
- Overview of automation and control systems in industrial applications.
- Common challenges in industrial environments.
- Real-world examples of operational inefficiencies and solutions.
- Types of control systems: PLC, DCS, SCADA.
- Industrial applications and use cases.
PLC System Components and I/O
- Overview of PLC architecture: CPUs, power supplies, I/O modules.
- Digital and analog cards: Signal types and applications.
- Configurations, modular design, and scalability of PLC systems
Control Panels: Design and Components
- Control panel layout: Power distribution, relays, breakers, wiring standards.
- Introduction to wiring diagrams and panel schematics.
- Panel design principles for safety, space management, and heat dissipation.
Day Two: Instrumentation and Field Devices
Introduction to Instrumentation
- Overview of sensors and transmitters (pressure, temperature, flow, level).
- Signal types (analog vs. digital)
- Configuration and Calibration techniques and signal types (4-20mA, 0-10V).
Variable Frequency Drives (VFDs)
- Introduction to motor control: VFD functions, setup, and parameters.
- Practical applications in speed and position control.
Actuators and Final Control Elements
- Types of actuators (electric, hydraulic, pneumatic).
- Overview of control valves and proportional valve controllers.
Optimizing Energy Usage in Control Systems
- Techniques for reducing energy consumption in automation.
- VFD programming for energy-efficient motor control.
- Energy-saving algorithms and practical examples.
Redundancy and Voting Schemes
- Intro to Risk Assessment and Safety
- System reliability concepts: Redundant CPUs, power supplies, and I/Os.
- Voting schemes for critical applications (e.g., 1oo2, 2oo3 configurations).
- Application of redundancy in critical processes for safety and reliability.
- Examine redundancy design examples and discuss their importance in safety-critical applications.
Day Three: Communication Protocols and System Design
Industrial Communication Protocols
- Overview of protocols: Modbus, PROFINET, PROFIBUS, Ethernet/IP, OPC UA.
- Communication architecture (bus, star, ring) topologies.
- Basics of troubleshooting communication issues.
System Integration and Networking
- Interfacing PLCs with SCADA, HMIs, and third-party systems.
- Basics of industrial networking: VLANs, IP addressing, and firewalls.
P&ID Diagrams and System Design
- Reading and interpreting P&ID diagrams.
- Symbols, line types, and annotations commonly used in P&IDs.
- Using P&IDs to design control systems and troubleshoot issues.
- Review network architecture diagrams and identify protocol types for different devices.
Day Four: Advanced Control Concepts and Applications
Control Algorithms
- Overview of control algorithms: On/off, PID, cascade, and ratio control.
- Tuning PID controllers for optimal performance.
- Control strategy selection based on application.
Human-Machine Interfaces (HMI)
- Designing user-friendly HMI screens: Layouts, trends, and navigation.
- Tag assignment
- Alarm display, trends, and interactive elements.
- Alarm prioritization and filtering (high, medium, low).
- Emergency Response Scenarios
Historians and Data Analytics
- Introduction to historian systems: Real-time and historical data logging.
- Using data for trend analysis, maintenance planning, reporting, troubleshooting and optimization.
Day Five: Digital Transformation and Industry 4.0
Understanding Industry 4.0
- Concepts of IIoT, big data, and connectivity.
- Edge devices, cloud integration, and IoT applications in predictive maintenance.
- Use cases for IIoT in predictive maintenance, real-time monitoring, and asset tracking.
- Introduction to Digital Twin technology.
- Basics of AI/ML and their industrial applications.
Cybersecurity in Control Systems
- Threats to industrial control systems: Malware, unauthorized access.
- Best practices for securing PLCs, SCADA, and industrial networks.