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Syllabus
This course is full of best-in-class content by leading faculty and industry experts in the form of videos and projects
Course Overview
- The students will learn and develop model-based control strategies for driver-assistant systems.
- During the coursework, the students will learn the following concepts:
- Various control strategies used to develop automotive systems
- Hands-on experience in developing algorithms and interfaces for driver-assistant technologies
- Model-based system engineering
- Also, they will be able to build their own model for level 2 autonomous vehicle features and add modifications to improve the system capabilities
- The course will give an overview of the software tools such as MATLAB and Simulink which are widely used in the industry.
- The students are exposed to the modern trends and standard practices being followed in the industry right now.
- This course forms the foundation for anyone wanting to pursue a career in this domain.
Course Syllabus
On a daily basis we talk to companies in the likes of Tata Elxsi and Mahindra to fine tune our curriculum.
Week 1 - Course Overview and Classical control
- Course overview:
- Introduction
- Overview of Automotive Systems Engineering
- Program Management – Systems Engineering
- Classical Controls Theory Overview
- Stability Pole Zeros
- Transient Performance
- Disturbance and Tracking
- PID Systems
- Gain Selection and Tuning
- Examples Comparing P, PI, PD, PID
Week 2 - Longitudinal Controller Design
- Longitudinal Dynamic Model
- Aero Drag and Rolling Resistance
- Linearizing Longitudinal Model
- Controller Design in Simulink
- Normal Cruise Control Project
- Performance Analysis Using Step Response
Week 3 - Adaptive cruise control model
- Design and Develop ACC Control Algorithm and Model in Simulink
- Feature Overview: Implementation, Sensor Sets, etc.
- Headway Control Model
- Speed Control Model
- Switching Logic in State Flow Techniques
- Controller Design and Tuning
- Performance Tuning using Feed-Forward Method
Week 4 - Advanced ACC - ACC Feature Modification
- Add Additional Functionality to the Model to Improve ACC Performance.
- CACC overview: Cooperative ACC Model
- Logic Implementation
- A Complete Model with Ego Vehicle and Target Vehicle in Simulink
- Simulation Scenarios and MIL
Week 5 - Lateral Control for Vehicles - Geometric Method
- Geometric Control Methods
- Pure Pursuit Controller
- Lane Keep System Using Pure Pursuit
- Stanley Controller
- LKS Using Stanley
Week 6 - Lateral Controller Model for Vehicles- Dynamic Modeling
- Lateral Control Model Elements and Overview
- Bicycle Model
- Tire Model
- State Equation for Lateral Control Model
- Introduction to MPC
- Controller Design using MPC
- Integration and Modelling in MATLAB
Week 7 - Lane Centering Assist
- Develop a Level 2 Model for Lane Centering Assist
- Lane Center Assist Logic
- Feature Boundary Diagram and Functions
- Steering Path Polynomial
- Mode Manager and Fault Manager Design
- Switching Logic for Scenarios
- Model in Simulink
Week 8 - Complete Level 2 Feature Model - Autopilot
- Combine the Models Developed Previously into a Single-vehicle Model and Simulate Scenarios with all Active Features
- Introduction to System Architecture
- Introduction to Electronic Horizon, HD Maps
Week 9 - LCA Modification: Assisted Lane Biasing and Assisted Lane Change
- Assisted Lane Biasing Logic and Implementation
- Assisted Lane Change Logic
- Path Planning for ALC
- Path Planning Function with LCA Model
Week 10 - Combined Controller - 5 DOF
- Combined Model of Lateral and Longitudinal Control
- Vehicle Dynamic Derivation for State Matrices
- State-Space Mathematics for 5 DOF System
- Implement a Single Controller System in Simulink
Week 11 - Advanced Topics in Controls for Autonomous Driving- Part 1
- Predictive Speed Assist
- Introduction to Predictive Speed Assist and Intelligent Speed Assist
- Curve Speed Control Derivation
- Pseudo Code for PSA and ISA
- Integration of PSA with Velocity Control Logic
- Control for Roundabout Scenarios
- Minimum Risk Manuevers
Week 12 - Advanced Topics in Controls for Autonomous Driving- Part 2
- AV Special Applications
- Off-road Mining
- Logistics and Supply Chain
- Agricultural Activities
- Smart Mobility
- AV Special ODs
- Toll Gates
- U-turns in Dead-end
- Other Control Techniques
- Cascade Control
- Nonlinear MPC
- Sliding Mode Control
- Future Topics for Research
- Deep Reinforcement Learning
- Machine Learning Applications in AVs
Our courses have been designed by industry experts to help students achieve their dream careers
Industry Projects
Our projects are designed by experts in the industry to reflect industry standards. By working through our projects, Learners will gain a practical understanding of what they will take on at a larger-scale in the industry. In total, there are 2 Projects that are available in this program.
Design and Develop Adaptive Cruise Control Model in Simulink
Develop an Integrated Automated Driving Model
Our courses have been designed by industry experts to help students achieve their dream careers
Ratings & Reviews by Learners
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Flexible Pricing
Talk to our career counsellors to get flexible payment options.
INR 40,000
Inclusive of all charges
Become job ready with our comprehensive industry focused curriculum for freshers & early career professionals
1 Year Accessto Skill-Lync’s Learning Management System (LMS)
Personalized Pageto showcase Projects & Certifications
Live Individual & Group Sessionsto resolve queries, Discuss Progress and Study Plans.
Personalized & Hands-OnSupport over Mail, Telephone for Query Resolution & Overall Learner Progress.
Job-Oriented Industry Relevant Curriculumavailable at your fingertips curated by Global Industry Experts along with Live Sessions.
Instructors profiles
Our courses are designed by leading academicians and experienced industry professionals.
1 industry expert
Our instructors are industry experts along with a passion to teach.
4 years in the experience range
Instructors with 4 years extensive industry experience.
Areas of expertise
- RADAR
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