Advanced Control Systems for EV: MATLAB for Design & Implementation
Thie “Advanced Control Systems for EV: MATLAB for Design & Implementation” course offers an in-depth exploration of electric vehicle (EV) design and simulation, emphasizing control systems and regulator design using MATLAB, SIMULINK, and QSS. It covers advanced techniques such as compensator design, regulator analysis, and modeling of practical systems like DC motors, inverted pendulums, and buck/boost converters. The course is designed to equip participants with the skills to simulate and design electric vehicle systems effectively, providing hands-on experience with industry-standard tools.
At a glance
- Launching Soon!! Stay Tuned!
-
LevelIntermediate
-
Enrollment validityEnrollment validity: Lifetime
-
CertificateCertificate of completion
Course Curriculum
Welcome to the Course!
-
Sign up at ev.care to access Free Learning Materials & QnA Support
Module 1: Revisiting Control Sytems with MATLAB & SIMULINK
-
Topic 1: Utilization of Different Control Structures with MATLAB
00:00 -
Topic 2: Stability Analysis of Linear Control System (BIBO, Routh-Hurwitz, Root locus, Nyquist)
00:00 -
Topic 3: System Representation for SISO/MIMO LTI models with a Use-Case of “Inverted Pendulum on a Cart”
00:00 -
Topic 4: Design a SISO System with a Use Case of “The DC motor”
00:00 -
Topic 5: Design a MIMO Model of Jet Transport Aircraft
00:00 -
Topic 6: Arrays of Linear Models, Their Characteristics, and Feedback Interconnection
00:00 -
Topic 7: Controllability, Observability, and System Properties with a Use Case of a Geostationary Satellite
00:00 -
Topic 8: State-Space Representation of Continuous Systems
00:00 -
Topic 9: Use of LTI viewer for analyzing Models, Simulink LTI Viewer
00:00 -
Topic 10: Application of SISO Designing Tool
00:00 -
Topic 11: Bode Diagram Design for Specific Application
00:00 -
Topic 12: Root Locus Design with Specific Application Example
00:00 -
Topic 13: Nichols Plot Design with Specific Example
00:00
Module 2: Advanced Control Design and Compensators
-
Topic 1: Use of different functions for Compensator Design by using MATLAB
00:00 -
Topic 2: Design of LQG-Controller by using MATLAB
00:00 -
Topic 3: Use of Phase Margin, Gain Margin, Modulus Margin, Delay Margin using MATLAB
00:00 -
Topic 4: Understanding Robust Stability and Internal Stability by using MATLAB
00:00 -
Topic 5: Youla Parameterization by using MATLAB
00:00
Module 3: Regulator Design and Discrete Control
-
Topic 1: P, PI, PD, PID Regulator Design by using MATLAB
00:00 -
Topic 2: PID Regulator Design for a Dead-Time System and considering Phase Shift using PADE Approximation
00:00 -
Topic 3: General Polynomial Method for Regulator Design using MATLAB
00:00 -
Topic 4: Analysis of Sampled Data System using MATLAB
00:00 -
Topic 5: Design of discrete PID Regulators using MATLAB
00:00
Module 4: Practical System Modelling and Applications
-
Topic 1: DC Motor Speed and Position Control System Modelling by using MATLAB
00:00 -
Topic 2: Inverted Pendulum System Modelling by using MATLAB
00:00 -
Topic 3: Design of Buck Converter in Closed Loop using System-Identification Toolbox
00:00 -
Topic 4: Design of Boost Converter in Closed Loop using System-Identification Toolbox
00:00 -
Topic 5: Ball & Beam System Modelling and Analysis using MATLAB
00:00
DIY Projects:
-
Project 1: Design and Simulation of an Electric Powertrain Control System Using MATLAB & SIMULINK
-
Congratulations on Successfully Completing the Course!
Earn a certificate
Add this certificate to your resume to demonstrate your skills & increase your chances of getting noticed.
Hardware & Software Required
Hardware: Standard PC with at least 8GB RAM and a dual-core processor.
Software: MATLAB, SIMULINK, QSS (Quick-Step Solver), System-Identification Toolbox.
Associated Skills
DIY Projects Included
Project: Design and Simulation of an Electric Powertrain Control System Using MATLAB & SIMULINK
In this project, students will design a comprehensive electric powertrain control system, focusing on optimizing speed, torque, and power efficiency. Using MATLAB and SIMULINK, students will model the control of DC motors and simulate real-world EV scenarios. The project will include designing PID regulators, compensators, and performing stability analysis using Bode, Root Locus, and Nichols plots to ensure optimal performance.
Course Benefits
For Professionals:
- Gain advanced skills in control systems design for EVs.
- Master industry-standard tools like MATLAB and SIMULINK.
- Enhance your ability to model complex EV systems.
- Increase career opportunities in automotive and EV-related industries.
- Apply theoretical knowledge to practical, real-world scenarios.
For Freshers:
- Learn hands-on EV system design and simulation tools.
- Build a strong foundation in control systems and modeling.
- Gain expertise in MATLAB and SIMULINK, crucial for EV and automotive jobs.
- Work on industry-relevant projects, boosting your portfolio.
- Enhance your employability in fast-growing sectors like electric vehicles and renewable energy.
Technical expertise you will gain
- Design and analyze control systems using MATLAB and SIMULINK.
- Develop Compensators and Regulators for EV systems.
- Model and Simulate real-world systems such as DC motors and converters.
- Perform Stability Analysis using advanced plotting tools like Bode and Root Locus.
- Design discrete control systems for electric vehicle applications.
- Use MATLAB’s System-Identification Toolbox for system modeling.
- Apply practical control design concepts to electric vehicle technologies.
- Control System Design
- Stability Analysis
- SISO/MIMO System Modelling
- State-Space Modelling
- Regulator Design (PID, LQG)
- Discrete Control Systems
- Practical System Modelling
- System Identification
- Robust Control Design
- Feedback Control Systems
- Control Systems Engineer
- Automation Engineer
- MATLAB & SIMULINK Specialist
- R&D Engineer (Control Systems)
- Robotics Engineer
- Embedded Control Engineer
- Process Control Engineer
- Systems Analyst
- Application Engineer (MATLAB/Simulink)
- Electrical Engineer (Control Systems)
- Proficiency in MATLAB & SIMULINK
- Understanding of SISO/MIMO Systems
- Stability Analysis Techniques
- State-Space Modelling
- PID Regulator Design
- LQG Controller Design
- Discrete Control Techniques
- Practical Modelling (DC Motors, Converters)
- System Identification Methods
- Use of LTI Viewer for Analysis
- Tata Motors
- Mahindra Electric
- Ather Energy
- Ashok Leyland
- Bosch India
- Siemens
- Ola Electric
- TVS Motor Company
- BYD India
- Hero Electric
Who can take this course?
This course is best suited for learners with a background in control systems and MATLAB simulations.
- Freshers
- Professionals
Personalized Trainer Support Portal:
- 24/7 Access to a personalized trainer support portal.
- One-on-One Mentorship for queries and project guidance.
- Access to diverse resources, including recorded lectures, reading materials, and practical guides.
- Dedicated forums for content discussion, insights, and project collaboration.
- Regular Feedback from trainers for comprehensive understanding and improvement.
At a glance
- Launching Soon!! Stay Tuned!
-
LevelIntermediate
-
Enrollment validityEnrollment validity: Lifetime
-
CertificateCertificate of completion
Similar Courses
Certification Course in Electronics & Circuit Design for EV Applications
- 11 hours 7 minutes
- Intermediate
Embedded Systems Certification Course: Embedded C, 8085/Arduino & Simulation
- 12 hours 14 minutes
- Expert
Certification Course in Motor & Drive System for EVs: Design & Optimization
- Intermediate