Teaching Responsibility
LJMU Schools involved in Delivery:
Engineering
Learning Methods
Lecture
Practical
Tutorial
Module Offerings
7421MEPC-JAN-CTY
Aims
This module aims to let students learn state space control method for dynamic system modelling, control and analysis.
Learning Outcomes
1.
Construct a state space model for a complex dynamic system based on its ODEs
2.
Critically analyse system characteristics and design state feedback control systems
3.
Design state observers and observer based state feedback control systems
4.
Critically evaluate the control systems using Matlab/Simulink
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.
Optimal Control: Quadratic performance index, Lyapunov equation, quadratic optimal control with Riccati equation.
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.
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