Control Systems for Electrical and Mechanical Engineers
Fee: $1,295 / Online / Nov 25 - 26, 2026 / Course Code: 17-1117-ONL26
OVERVIEW
Please note, This instructor-led course has specific dates and times:
This course is held online over 2 days on the following schedule (All times in Eastern Time Zone): 10 am to 5:30 pm Eastern (Will include a 30-minute lunch break) Course participants are expected to have an understanding of electrical and mechanical design and the analysis of simple systems.
After participating in this course, you will be able to:
- Implement control laws effectively to enhance automation systems.
- Evaluate and optimize the performance of various control system components and equipment.
- Design, analyze, and refine basic and advanced control loops for industrial applications.
- Integrate and troubleshoot complex control systems in real-world scenarios.
- Leverage distributed and centralized control methods for improved system efficiency and reliability.
Description
Understanding control systems is essential for electrical and mechanical engineers striving to enhance efficiency in automation and industrial processes. Focusing on the fundamentals, this course introduces you to the principles underlying control systems without complex mathematics, enabling you to design, commission, and troubleshoot these systems confidently. Key topics include control system interfaces, the role of sensors and actuators, and the importance of GUI design for effective system management.
The course explores PLCs' construction and programming requirements and their integration into industrial automation systems. You’ll gain practical insights into distributed and centralized control methods, measuring and testing system performance, and addressing challenges like diagnostics, fault tolerance, and redundancy. Emerging trends, such as the role of IoT in manufacturing, are also covered, providing you with a forward-thinking perspective on control system advancements.
Combining theoretical foundations with practical exercises, this course equips you with the skills to tackle real-world engineering challenges. By engaging with case studies and problem-solving sessions, you will leave with actionable knowledge to improve processes, drive innovation, and advance your career in the ever-evolving field of control systems and automation.
Who Should Attend
This course is designed for engineers, project engineers, technicians, and supervisors involved in designing, maintaining, and testing control systems and industrial automation. It is also ideal for OEM equipment system integrators, staff responsible for commissioning and troubleshooting control systems, and project managers seeking a deeper understanding of automation technologies.
Professionals from industries such as manufacturing, energy, and transportation who aim to enhance their knowledge of control systems. Students and aspiring engineers eager to build a foundation in control systems design and implementation are encouraged to attend. Additionally, technical leads and consultants looking to stay updated with industry trends in automation and IoT applications will find this course highly valuable.
Required Resources:
- Course participants are expected to have an understanding of electrical and mechanical design and the analysis of simple systems.
SYLLABUS
Day I
Welcome, Introduction, Workshop Preview, Learning Outcomes and the Assessment Method
Control Systems- The Fundamentals
- Automation concepts
- Linear versus Nonlinear Control Systems
- Control theory brief
- Open loop and closed loop (feedback) control
- Closed Loop Transfer Function
- Feedforward control
- PI and PID control
Control System Interfaces
Components of Control Systems
- Controllers: Theory of operation
- Sensors
- Actuators
- Software role and governing architecture
- PLC Control
- Embedded Control
- Pros and cons
- Quiz/Exercise
Day II
Construction and Programming Requirements of PLCs
- Basic drivers (HART, Modbus, Fieldbus)
- Industrial applications of control systems
Measuring and Testing
- Data Processing
- Using statistics to interpret results
Centralized versus distributed control systems
- Communication interfaces: Serial, Ethernet, USB, wireless, network protocols
HMI / GUI Concepts
- Engineering model for distributed automation and control
- Diagnostics
- Fault tolerance
Industrial Automation Trends
- Redundant configurations
- Hot swapping and mirroring
- Voting
- Virtualization
- Application of IoT in manufacturing
Practical Examples
Questions and Answers and Feedback to Participants on Achievement of Learning Outcomes
INSTRUCTOR
Corina was System Engineering Manager with Curtiss Wright before recently retiring. She has years of experience in system engineering and control systems. She is also a present member of INCOSE (International Council of Systems Engineering) and has served on the board of TASSQ (Toronto Association of Systems and Software Quality) in the past.
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