Examination

2 - Written exam - 60

One CW piece of one set exercises

1 - Set exercises - 40

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Review of Vehicle Kinematics and Dynamics: Coordinate Systems, Translational and Rotational motion, Free-body diagrams, General Modelling Concepts. Newtonian and Lagrangian Dynamics.   
Dynamics Modelling: Automotive vehicles: Motion interaction and Subsystems (Wheels and Tyres, Suspension, Steering and Breaking). Longitudinal, Lateral and Vertical Dynamics; UAV’s: Examples of UAV’s (fixed wing, multi-rotors), overview of flight subsystems. Flight dynamics modelling: Reference frames and transformations, equations of motion, trim and equilibrium, stability, linearised dynamics, longitudinal and lateral modes. 
Propulsion: Internal combustion engines Jet propulsion, Electric engines; Hybrid Propulsion; Fuel cells.   
Stability and Control: Automotive vehicles: Autonomous, Connected and Self-Driving vehicles; Sensor Systems and AI for autonomous driving; Cooperative control for Vehicle platoons and String instabilities; Mobile Robots and path planning. Obstacle avoidance. UAV’s: Overview of classical control for rate and attitude regulation. LQR optimal control. UAV guidance. Formation flight control of multi-UAV’s systems.

Feedback is provided in a number of ways throughout your module. This includes feedback you receive during teaching from both peers and lecturers and that provided for formative assessment. Following an assessment, you will be given your marks and feedback in line with the assessment regulations and policy. More information on the timing and type of feedback that will be provided for each assessment will be available from the module leader. <a href='https://www.citystgeorges.ac.uk/about/governance/policies/student-policies-and-regulations'>https://www.citystgeorges.ac.uk/about/governance/policies/student-policies-and-regulations</a>

This module will support the development of all the graduate attributes. Your module leader will provide you with information about how your learning, teaching and assessment activities support your development of these attributes. The graduate attributes are: - Always learning - Engaged in the world - Technical and digital - Connected Professional - Creating Impact

In-Person - 

Self-directed - 

 Modelling and Simulation of Aerospace Vehicle Dynamics

Vehicle Dynamics and Control.

Vehicle Dynamics: Theory and Application. 

Cooperative Control of Dynamical Systems: Applications to Autonomous Vehicles. 

EPM103 - Systems Dynamics, Modelling, Propulsion and Control

EPM103-PRD1-PER-ALV1

This module will be delivered in lectures introducing Systems Dynamics, Modelling, Vehicle propulsion and Control theoretical concepts. These concepts will be explored and studied in more details in problem solving tutorials via exercises and design examples sessions. During the self-directed study time you will be expected to absorb the lectures, read more on the given lectures through textbooks, study the presented problems, work on system design examples and prepare the required solutions for the coursework submission. All material will be available in Moodle prior to the lectures. 
You will be expected to use the self-directed study hours to work through the problems discussed in the tutorials. In addition, you should also try and learn the fundamentals of the risk assessment criteria for your specific sectors and validate against the theory you learned in the lessons.

Systems Dynamics, Modelling, Propulsion and Control

Propose designs of Autonomous Systems based on theoretical and practical components of automotive vehicles, mobile robots and UAV’s. (AHEP4 M1, M5)

Knowledge

Apply and critically evaluate advanced software tools to analysis and design tasks related to dynamic modelling, trajectory planning, stability and control of Autonomous vehicles. (AHEP4 M13)

Solve complex problems involving optimal decision-making in real-time by applying intelligent techniques based on Control and Machine Learning algorithms. (AHEP4 M3)  

Skills

Apply analytic and design knowledge to model, simulate and control autonomous vehicles’ navigation creatively and in innovative ways. (AHEP4 M2, M12)

Develop novel instrumentation, control and propulsion concepts and evaluate them through suitable hardware and/or software platforms. (AHEP4 M3, M12)

Examine the importance of working with others in promoting an effective and innovative learning environment. (AHEP4 M16)

Values and attitudes

Apply advanced modelling, control and propulsion theory to Autonomous Systems’ design. (AHEP4 M3)

Recognise and take responsibility for developing safe and reliable products and solutions. (AHEP4 M7)