lecture 9,10,11&12

lecture 9,10,11&12 - CONTROL SYSTEM MODELLING,...

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1 CONTROL SYSTEM MODELLING, ANALYSIS AND DESIGN IN STATE SPACE The classical technique is based on converting a system’s differential equation to a transfer function, which relates the output to the input. The disadvantage of the classical approach is its limited application: linear, time-invariant systems The advantage of the classical approach is that they rapidly provide stability and transient response information. Thus we can immediately see the effect of varying system parameters until an acceptable design is met.
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2 Why the modern control is developed: • Complexity of systems (multi inputs and multi outputs, nonlinearity, time varying systems) • Stringent requirement on the performance of control system • Availability of numerous state space software packages for the personal computer
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3 State variables : The state variables of a dynamic system are the variables making up the smallest set of variables that determine the state of the dynamic system.
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4 State space : The n-dimensional space whose coordinate axes are n state variables is called a state space. State space equation
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This note was uploaded on 06/02/2010 for the course HET 489 taught by Professor Zhenwei during the Three '08 term at Swinburne.

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lecture 9,10,11&12 - CONTROL SYSTEM MODELLING,...

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