Unit 3423: Advanced Industrial Control Systems

1. Advanced Process Control Systems

1.1 Principles of Advanced Process Control

• Definition and goals
• Comparison with basic control systems

1.2 Model Predictive Control (MPC)

• Concept and mathematical foundation
• Applications and case studies
• Advantages and limitations

1.3 Adaptive Control

• Types of adaptive control (model reference, self-tuning)
• Use cases in dynamic environments

1.4 Cascade Control

• Structure and benefits
• Implementation examples

2. Plant-wide Control Strategies

2.1 Overview of Plant-wide Control

• Importance of integrated control
• Challenges in large-scale systems

2.2 Distributed Control Systems (DCS)

• Architecture and components
• Communication and data flow

2.3 Supervisory Control and Data Acquisition (SCADA)

• System components and functions
• Role in industrial automation

2.4 Advanced Control Algorithms

• Multivariable control
• Optimization techniques

3. Cybersecurity in Industrial Control Systems

3.1 Importance of Cybersecurity

• Threat landscape in ICS
• Potential impacts of cyber attacks

3.2 Network Security Best Practices

• Segmentation and access control
• Firewalls and intrusion detection systems

3.3 Intrusion Detection and Response

• Monitoring techniques
• Incident response planning

4. Troubleshooting Control System Issues

4.1 Common Issues in Control Systems

• Sensor malfunctions
• Actuator failures
• Communication errors
• Software glitches

4.2 Systematic Problem-Solving Techniques

• Root cause analysis
• Diagnostic tools and software

4.3 Case Studies and Practical Exercises

5. Human-Machine Interface (HMI) Design

5.1 Principles of Effective HMI Design

• User-centered design
• Ergonomics and usability

5.2 Layout and Navigation

• Screen organization
• Menu structures

5.3 Alarm Management

• Prioritization and categorization
• Reducing alarm fatigue

5.4 Trend Visualization and Interactive Controls

• Real-time data display
• Control inputs and feedback

6. Maintenance and Calibration of Control Instruments

6.1 Importance of Maintenance and Calibration

• Impact on accuracy and reliability

6.2 Calibration Procedures

• Sensors and transmitters
• Controllers and final control elements

6.3 Maintenance Best Practices

• Scheduled maintenance
• Record keeping and documentation

7. Advanced Control Strategies for Energy Efficiency

7.1 Energy Management Systems

• Components and objectives

7.2 Peak Load Management

• Techniques and benefits

7.3 Real-time Optimization Techniques

• Algorithms and implementation

8. Integration of Industrial Internet of Things (IIoT) in Control Systems

8.1 IIoT Technologies and Devices

• Sensors, actuators, and gateways

8.2 Real-time Data Monitoring

• Data acquisition and analytics

8.3 Predictive Maintenance

• Condition monitoring
• Failure prediction

8.4 Remote Operation and Data-driven Decision Making

• Cloud integration
• Control system enhancements

9. Regulatory Compliance in Control Systems

9.1 Overview of Regulatory Standards

• Safety regulations (e.g., OSHA, IEC 61508)
• Environmental compliance
• Industry-specific guidelines

9.2 Ensuring Compliance

• Control system design considerations
• Auditing and documentation

9.3 Case Studies