Industrial Instrumentation and Modern Control Systems

Introduction :
Industrial instrumentation encompasses the measurement, control, and automation of processes in various industries including manufacturing, chemical processing, oil and gas, and utilities. This course, "Industrial Instrumentation and Modern Control Systems," provides participants with essential knowledge and skills related to the selection, application, and maintenance of instrumentation systems, as well as the principles of modern control strategies. Students will gain practical insights into the latest technologies in process control, enabling them to effectively design, implement, and troubleshoot instrumentation and control systems.

Target Audience :

• Process Engineers: Professionals involved in the design and optimization of industrial processes.
• Control Engineers: Engineers focused on implementing and managing control systems in various applications.
• Instrumentation Technicians: Individuals working with instrumentation and control systems in real-world environments.
• Maintenance and Reliability Engineers: Professionals responsible for ensuring the reliability and performance of instrumentation systems.
• Students and Recent Graduates: Individuals seeking to enter the fields of engineering related to instrumentation and automation.

Course Objectives :

• Understand Industrial Instrumentation Principles: To provide a foundational understanding of the types and functions of industrial instruments used in measurements and control.
• Explore Control Systems Theory: To introduce participants to control system concepts, including feedback, stability, and control strategies.
• Identify and Apply Measurement Techniques: To equip participants with the knowledge of different measurement techniques and their applications in industrial processes.
• Implement Modern Control Strategies: To discuss advanced control strategies, including PID control, adaptive control, and model predictive control.
• Troubleshoot and Maintain Systems: To develop skills in diagnosing and resolving issues with instrumentation and control systems.

Course Modules :

Introduction to Industrial Instrumentation

• Definition and Importance:Overview of industrial instrumentation and its role in automation and control processes.
• Historical Context:Evolution of instrumentation technology and its impact on various industries.

Measurement Principles and Techniques

• Basic Measurement Concepts:Understanding the fundamentals of measurement, accuracy, precision, and resolution.
• Types of Measurements:Overview of different types of measurements (e.g., temperature, pressure, flow, level).
• Sensors and Transducers:Types of sensors (e.g., thermocouples, pressure transmitters, flow meters) and their applications.

Data Acquisition and Signal Conditioning

• Data Acquisition Systems (DAS):Components of data acquisition systems and their working principles.
• Signal Conditioning:Techniques for enhancing signal quality, including amplification, filtering, and analog-to-digital conversion.

Control System Fundamentals

• Basic Control Theory:Introduction to control systems and their types (open-loop vs closed-loop).
• Control System Components:Overview of controllers (PID controllers), actuators, and their functions in a control loop.

Advanced Control Strategies

• PID Control:In-depth exploration of Proportional-Integral-Derivative (PID) control theory and tuning methods.
• Adaptive Control:Introduction to adaptive control techniques and their applications in dynamic systems.
• Model Predictive Control (MPC):Understanding MPC principles and how they differ from traditional control methods.