Teaching Responsibility

LJMU Schools involved in Delivery:

Engineering

Learning Methods

Lecture
Tutorial

Module Offerings

7402ELE-JAN-CTY

Aims

This module aims to let students learn state space control method for dynamic system modelling, control, analysis and simulation.

Module Content

Outline Syllabus:
System Modelling: State space modelling for electrical and electronic systems, mechanical systems, process systems, etc. Transformation from state space model to transfer function model, Transformation between continuous and discrete state space models, state space model standard form. System Characteristics: State transition matrix, solution of state equations, controllability, observability, stability, State Feedback Control: Pole placement method in both continuous and discrete forms, observer design in both continuous and discrete forms, observed state feedback control. Optimal Control: Quadratic performance index, Lyapunov equation, quadratic optimal control with Riccati equation.
Module Overview:
This module aims to enhance your knowledge on state space control method for dynamic system modelling, control, analysis and simulation.
Additional Information:
This level 7 module extends a prospective student’s experience of classical control techniques to modern state space control techniques for linear systems. The emphasis is on the understanding of design techniques for control system design for both single-input single-output and multi-input multi-output dynamic systems. Students will learn to apply the techniques both theoretically and practically to industrial systems by simulation. UNESCO Sustainable Development Goals 1. Quality Education 2. Gender Equality 3. Affordable and Clean Energy 4. Industry, Innovation and Infrastructure 5. Partnerships for the Goals UK SPEC AHEP 4 UNESCO Sustainable Development Goals Quality Education Gender Equality Industry, Innovation and Infrastructure Partnerships for the Goals UK SPEC AHEP 4 CEng. M3 Select and apply appropriate computational and analytical techniques to model complex problems, discussing the limitations of the techniques employed. M6 Apply an integrated or systems approach to the solution of complex problems.

Assessments

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Centralised Exam