Comprehensive Vehicle Control Systems Training Program
This program offers engineers a unique opportunity to train under industry professionals, work on live projects, and gain hands-on experience in vehicle control systems. From seminars covering transfer functions and stability concepts to project phases focusing on modeling, design, and testing, participants will enhance their skills in control theory, modeling, and autonomous systems. The program culminates in project work related to ADAS or powertrain domains, where candidates apply their skills in system integration, controller design, and testing. Through milestones like literature review, subsystem modeling, and controller integration, participants develop expertise in Model-Based Design and create analytical reports on their project outcomes.
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Presentation Transcript
Vehicle Control Systems For Everybody- IV Program Structure and Projects 2021
Training Phase Program Structure 1 week The VCSE program offers engineers a unique opportunity to train under industry professionals and obtain experience while working on a live project. Project Phase 3 weeks
Seminar Topic Coverage Duration 1. Transfer functions 2. PID 3. Stability concepts 2 days Introduction to Control Theory and Modeling 1. Motor modeling 2. Engine idle speed controller 3. Cruise control modeling 1. Introduction to the V model 2. Significance of system modeling 3. Subsystem development and testing using Simulink 4. Vehicle level model integration 5. Testing and Analysis 2 days Component Modeling Assignments EV Training Phase 1 day Introduction to integrated EV modeling Following topics will be covered in the training phase.
Seminar Topic Lectures/Material will cover following topics 1. MATLAB/Simulink/State flow 2.Transfer function & state space model, 3.PID,LQR 4.Intro to Deep Learning/Reinforcement learning 1. Scenario building as per NCAP for FCW & AEB 2. ASAM standards for Simulator Duration Introduction to Control Theory and Modeling 3 days AD/ADAS Training Phase Driver scenario reader app & ASAM standards 1 days Introduction to Architecture of self-driving cars & architecture for FCW+AEB feature Introduction to the V model & Intro to Autonomous systems 1. Significance of system modeling 2. Subsystem development and testing using Simulink 3. Vehicle level model integration 4. Testing and Analysis 1 day Following topics will be covered in the training phase.
Project After the training, the candidates will work on a project in the domain of ADAS or Powertrain The tentative projects for the January program are: POWERTRAIN ADAS Modeling and control of Active Limited Slip Differentials Modelling & design of FCW/AEB feature for Autonomous level 1 vehicle Control and modeling of gear shift mechanism for an automated manual transmission Testing of feature using MIL testing
Milestone Completion Flag Duration Literature Review 1. 2. Previous studies reviewed Development scope identified 2 days Sub- System Modeling and Testing 1. 2. 3. Subsystems modeled using Simscape Test Rig created Individual component tests analyzed 3 days EV Project Milestones System Integration and Testing 1. Subsystems integrated to develop the vehicle model Model behavior is tested and verified 2 days 2. Controller Design 1. 2. 3. Functional requirements determined Controller architecture developed Control strategy optimized 3 days Controller Integration and Testing Integration of the controller with the plant model 3 days The candidates will apply the MBD skills gained during the Project phase: Analysis and Report Development 1. 2. 3. Results analyzed Future scope identified SAE/IEEE style report generated 2 days
Milestone Lectures Will cover following topics Duration Literature Review 1. 2. Previous studies reviewed Development scope identified 2 days Sensors & Perception 1. 2. 3. Intro to sensors Finding Lane lines on road Object Detection(Bag of Visual Words approach) and Sparse Optical flow for tracking(Shi Tomasi Lucas Kanade algorithm) 3 days Sensor Fusion & localization 1. 2. 3. State estimation using Kalman filters/EKF Extended object tracking for Radar Data Sensor fusion for Camera & Radar Data for object tracking Localization with EKF using IMU+GPS data Localization using Particle filters using Monte Carlo approach for GPS deprived regions 3 days AD/ADAS Project Milestones 4. 5. Prediction of another agent's behavior in environment 1. 2. AMM estimator design and modelling Intro to Na ve bayes classifier 2 days The candidates will apply the MBD skills gained during the Project phase: Planning 1.Mission planning 2.Behavior planning using FSM 3.Local planning using conformal lattice planner for trajectory generation and velocity profile generation 3 days Controls 1. 2. Longitudinal control Lateral control 2 days
Why should you choose VCSE? 01 02 03 Undergo training in automotive controls systems in an industry environment. Receive guidance from industry experts and mentors to solve an industry problem. Obtain work experience in the domain and build a demonstrable project.
Thank you! For more Information contact Mayuri Paralikar mayuri@dorleco.com
