Skip to main content

Mastering Control System Engineering; A Step-by-Step Guide

USD211.00
When you get access:
Course access is prepared after purchase and delivered via email
How you learn:
Self-paced • Lifetime updates
Your guarantee:
30-day money-back guarantee — no questions asked
Who trusts this:
Trusted by professionals in 160+ countries
Toolkit Included:
Includes a practical, ready-to-use toolkit with implementation templates, worksheets, checklists, and decision-support materials so you can apply what you learn immediately - no additional setup required.
Adding to cart… The item has been added

Mastering Control System Engineering: A Step-by-Step Guide



Course Overview

This comprehensive course is designed to provide participants with a thorough understanding of control system engineering, from the fundamentals to advanced concepts. With a focus on practical, real-world applications, participants will gain the knowledge and skills needed to design, implement, and troubleshoot control systems.



Course Features

  • Interactive and engaging learning experience
  • Comprehensive and up-to-date content
  • Personalized learning experience
  • Expert instructors with industry experience
  • Certificate issued by The Art of Service upon completion
  • Flexible learning options, including mobile access
  • User-friendly interface and community-driven learning environment
  • Hands-on projects and actionable insights
  • Bite-sized lessons and lifetime access to course materials
  • Gamification and progress tracking features


Course Outline

Module 1: Introduction to Control System Engineering

  • Definition and importance of control systems
  • History and evolution of control systems
  • Types of control systems: open-loop, closed-loop, and hybrid
  • Applications of control systems: process control, robotics, and mechatronics

Module 2: Mathematical Modeling of Control Systems

  • Introduction to mathematical modeling
  • Transfer function models: definition, types, and applications
  • State-space models: definition, types, and applications
  • Modeling of mechanical, electrical, and thermal systems

Module 3: Control System Analysis

  • Time-domain analysis: transient response, stability, and steady-state error
  • Frequency-domain analysis: Bode plots, Nyquist plots, and Nichols charts
  • Root locus analysis: definition, applications, and limitations
  • Stability analysis: Routh-Hurwitz criterion, Jury's test, and Lyapunov's method

Module 4: Control System Design

  • Design objectives: stability, performance, and robustness
  • Design methods: classical, modern, and intelligent control
  • Lead and lag compensators: design and applications
  • PID controllers: design, tuning, and applications

Module 5: Digital Control Systems

  • Introduction to digital control systems
  • Digital signal processing: sampling, quantization, and reconstruction
  • Discrete-time models: definition, types, and applications
  • Digital control system design: stability, performance, and robustness

Module 6: Nonlinear Control Systems

  • Introduction to nonlinear control systems
  • Nonlinear models: definition, types, and applications
  • Nonlinear control system analysis: stability, performance, and robustness
  • Nonlinear control system design: feedback linearization, sliding mode control, and model predictive control

Module 7: Intelligent Control Systems

  • Introduction to intelligent control systems
  • Fuzzy logic control: definition, applications, and limitations
  • Neural network control: definition, applications, and limitations
  • Genetic algorithm-based control: definition, applications, and limitations

Module 8: Control System Implementation and Troubleshooting

  • Hardware implementation: sensors, actuators, and control units
  • Software implementation: programming languages and control algorithms
  • Troubleshooting techniques: fault detection, isolation, and recovery
  • Case studies: industrial control systems, robotics, and mechatronics

Module 9: Advanced Topics in Control System Engineering

  • Control system security: threats, vulnerabilities, and countermeasures
  • Control system networks: protocols, architectures, and applications
  • Control system optimization: methods, algorithms, and applications
  • Control system fault tolerance: methods, algorithms, and applications

Module 10: Final Project and Course Wrap-up

  • Final project: design, implementation, and presentation
  • Course review and wrap-up
  • Certificate issuance and course evaluation


Certificate

Upon completion of the course, participants will receive a certificate issued by The Art of Service. The certificate will be awarded based on the participant's performance in the course, including completion of all modules, assignments, and the final project.

,