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State-space modelling, solution and analysis of state-space equations. Control systems aspects include state feedback and pole placement, state estimation and optimal control. System identification, which is complementarily related to control systems design/analysis will develop and solve linear methods of model identification and creation from data.
Modern linear systems theory is the backbone of a range of advanced dynamic systems modeling and analyses with direct industry relevance across a range of fields, including aerospace, automotive, automation and others. Course covers both control systems and optimal control, as well as system identification methods (physical models identified from data), all of which are relevant to these industries and engineering practice.Control systems and system identification will be taught in 3 x 1 hours of lecture per week. The system identification will be taught as a separate stream. Students must pass both parts of the course.There will be 2 short laboratories based on modeling or mimicking the design and application of these methods in industry while recognising the needs of a large class. Thus, they will be modeling and application based labs done partly outside lab (modeling) as preparation to do the lab testing.Practical examples and applications will be brought in for all topics.
Learning Outcomes and National Qualifications Framework (NQF)Knowledge outcomes: Modern control systems and state space modeling methods, tate space modeling of SISO and MIMO systems, natural and forced responses, state transition matrix, stability, controllability and observabilityUnderstanding of stability of systems and their controllability and observability in modern automation and controlModern system identification methods using time domain and state space models.Skills outcomes:Ability to derive, interpret and solve problems using modern state space control methods for continuous time and discrete time systemsAbility to derive and solve system identification problems using modern state space system models and experimental data, including integral-based methods and least-squares based methodsAble to analyse mechanical systems for linear behaviour and stability (or instability) using modern state space modeling and methodsAble to solve and simulate MIMO systems including control and feedback.Ability to apply and solve problems for the design of modern state space and optimal control problems.Able to apply these methods to complex multi-degree of system (MIMO) systems with multiple inputsResearch in the development, derivation and application of principles taught to a broad spectrum of problems (design of solutions) and complex systems.Personal / Application attributes developed:Take a mechanical system, design the equations of motion, transform solve and analyse it in the frequency domain, design feedback control for desired stability and performance, and interpret the results – The A – to – Z of design, computation, analysis and implementation for feedback control of dynamic systems.Broader design, problem solving and analysis skills and experience for dynamic systemsUse of modern computational tools (Matlab) for design, analysis and problem solving of complex problemsApplication of modern modeling and control or system identification methods and analysis to a wider spectrum of real-life engineering problems via laboratories, problems, case studies and projects.Research capability to derive and apply principles to problems.
ENME303 or ENEL321
Control Engineering: A Modern Approach
Sanders College Pub, 1995.
Dutton, Ken. , Thompson, S., Barraclough, Bill;
The art of control engineering
Addison Wesley, 1997.
Franklin et al;
Digital control of dynamic systems
Franklin et al;
Feedback Control of Dynamic Systems
Modern Control Engineering
Stefani, Raymond T. , Hostetter, G. H;
Design of feedback control systems
Saunders College Pub/Harcourt Brace Jovanovich College Pub, 1994.
Domestic fee $1,018.00
International fee $4,863.00
* All fees are inclusive of NZ GST or any equivalent overseas tax, and do not include any programme level discount or additional course-related expenses.
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