Automotive Systems: Advanced Modeling and Control
Master mathematical modeling and control design for automotive systems in this 7-week advanced course.
Master mathematical modeling and control design for automotive systems in this 7-week advanced course.
Explore advanced concepts in model-based automotive systems engineering with this comprehensive course from Chalmers University. Over seven weeks, you'll delve into modeling, control design, and simulation techniques crucial for automotive system development. Learn to create mathematical models from basic physical laws and apply them to control design processes, with a specific focus on automotive applications. The course covers road vehicle modeling, state-space concepts, discrete-time controllers, and state estimation methods, preparing you for cutting-edge work in automotive engineering.
Instructors:
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What you'll learn
Develop mathematical models for road vehicle dynamics in multiple directions
Create and analyze causal and acausal models of dynamic systems
Apply linearization techniques to nonlinear continuous-time models
Derive discrete-time models through sampling methods
Understand and apply state-space terminology in automotive contexts
Design discrete-time state feedback controllers for automotive systems
Skills you'll gain
This course includes:
PreRecorded video
Graded assignments, exams
Access on Mobile, Tablet, Desktop
Limited Access access
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Module Description
This course provides a comprehensive exploration of model-based control design in automotive systems engineering. It covers the development of mathematical models for automotive systems, focusing on road vehicle dynamics in longitudinal, lateral, and vertical directions. Students learn to create both causal and acausal models of dynamical systems, linearize nonlinear continuous-time models, and derive discrete-time models through sampling. The course delves into state-space concepts, teaching students to design discrete-time state feedback controllers and analyze systems for controllability, observability, and stability. Advanced topics include observer design and state estimation techniques. Throughout the course, students apply these concepts to various automotive applications, from early system concept studies to performance optimization. The curriculum emphasizes practical exercises to reinforce theoretical concepts, preparing students for real-world challenges in automotive engineering.
Fee Structure
Instructor
1 Course
Expert in Mechatronics and Automotive Systems at Chalmers University of Technology
Jonas Fredriksson is a Professor of Mechatronics at Chalmers University of Technology in Sweden. Born in 1972, he obtained his PhD in control engineering from Chalmers in 2002, focusing on automotive powertrain control. After working in industry at SEMCON and Volvo Cars, he returned to academia in 2003 as an Assistant Professor at Chalmers. He became a Senior Lecturer in 2007, Docent in Mechatronics in 2008, and full Professor in 2017. Fredriksson's research centers on modeling, control, and simulation of dynamic systems, particularly automotive systems. His work encompasses hybrid electric vehicles, vehicle dynamics control, automotive active safety, and self-driving vehicles. With 20 years of teaching experience, he is involved in both undergraduate and graduate-level courses at Chalmers, where he is known for his engaging teaching style and responsiveness to student needs. Fredriksson's career exemplifies the integration of academic research with practical industry applications in the rapidly evolving field of automotive engineering and mechatronics.
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