Control Theory State-Space method with derivative input

In summary, Ogata's Modern Control Engineering discusses the representation of differential equations in state space. The first method involves no derivative terms in the input of the differential equation, while the second method involves inputs with derivatives. The state variables are then determined using a set of equations, as shown in various sources such as a PDF and a website. However, in the case of a third order differential transfer function, the third derivative is not a valid state variable or input. This can be solved by representing the term as a sum of state variables and outputs, leading to a more complex process if the order of the numerator is equal to that of the denominator.
  • #1
Chacabucogod
56
0
Hi,

I'm reading Ogata's Modern Control Engineering, and when he talks about the representation of a differential equation in state space he divides the method in two. The first one is when the input of the differential equation involves no derivative term, for example:

x'(t)+x(t)=u(t)

The next step is doing it with a differential equation that has inputs that have derivatives. For example:

x'(t)+x(t)=u(t)+u'(t)

He then mention that the state varibles will be

x1=y-β0u
x2=y'-β1u-β0u' and so on...

I've tried finding a reason for this and the nearest I've come is the following PDF, which has errors:

http://www.ece.rutgers.edu/~gajic/psfiles/canonicalforms.pdf

Anybody got an idea how that can be derived?
 
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  • #2
note: this is not mine...
http://lpsa.swarthmore.edu/Representations/SysRepTransformations/TF2SS.html

Consider the third order differential transfer function:

img7D.gif


We start by multiplying by Z(s)/Z(s) and then solving for Y(s) and U(s) in terms of Z(s). We also convert back to a differential equation.

img58.gif


We can now choose z and its first two derivatives as our state variables

img5C.gif


Now we just need to form the output

img89.gif


Unfortunately, the third derivative of z is not a state variable or an input, so this is not a valid output equation. However, we can represent the term as a sum of state variables and outputs:

img8A.gif


and

img8C1.gif


From these results we can easily form the state space model:

img8E.gif


In this case, the order of the numerator of the transfer function was less than that of the denominator. If they are equal, the process is somewhat more complex.
 
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FAQ: Control Theory State-Space method with derivative input

What is the Control Theory State-Space method with derivative input?

The Control Theory State-Space method with derivative input is a mathematical approach used to model and analyze the behavior of a control system. It involves representing the system as a set of differential equations in state-space form, where the state variables represent the system's internal states and the input variables represent the control inputs. The addition of derivative input allows for more accurate and responsive control of the system.

How is the State-Space method different from other control techniques?

The State-Space method differs from other control techniques, such as transfer function and frequency response methods, in that it takes into account the internal states of the system. This allows for a more comprehensive understanding of the system's behavior and the ability to design controllers that can regulate the system's states as well as its outputs.

What are the benefits of using the Control Theory State-Space method with derivative input?

There are several benefits to using the Control Theory State-Space method with derivative input. These include the ability to accurately model complex systems, the ability to design controllers that can regulate both states and outputs, and the ability to handle systems with multiple inputs and outputs. Additionally, the State-Space method is well-suited for systems with time-varying or nonlinear dynamics.

What are some common applications of the Control Theory State-Space method with derivative input?

The Control Theory State-Space method with derivative input is commonly used in a variety of industries, including aerospace, automotive, and industrial control. It is also used in robotics, process control, and electrical power systems. Any system that requires precise and responsive control can benefit from the State-Space method.

Are there any limitations to using the Control Theory State-Space method with derivative input?

While the Control Theory State-Space method with derivative input is a powerful tool for control system design, it does have some limitations. One major limitation is the need for accurate and complete system models, which can be difficult to obtain in some cases. Additionally, the State-Space method can be computationally intensive, especially for large-scale systems with many states and inputs.

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