Update Content - 2024-12-17
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@@ -75,7 +75,7 @@ The major restriction to the application of feedforward adaptive filtering is th
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<a id="table--table:comparison-constrol-strat"></a>
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<div class="table-caption">
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<span class="table-number"><a href="#table--table:comparison-constrol-strat">Table 1</a></span>:
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<span class="table-number"><a href="#table--table:comparison-constrol-strat">Table 1</a>:</span>
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Comparison of control strategies
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</div>
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@@ -123,7 +123,7 @@ Uncertainty can be divided into four types:
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- neglected nonlinearities
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The \\(\mathcal{H}\_\infty\\) controller is developed to address uncertainty by systematic means.
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A general block diagram of the control system is shown figure [1](#figure--fig:alkhatib03-hinf-control).
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A general block diagram of the control system is shown [Figure 1](#figure--fig:alkhatib03-hinf-control).
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A **frequency shaped filter** \\(W(s)\\) coupled to selected inputs and outputs of the plant is included.
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The outputs of this frequency shaped filter define the error ouputs used to evaluate the system performance and generate the **cost** that will be used in the design process.
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@@ -204,7 +204,7 @@ Two different methods
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{{< figure src="/ox-hugo/alkhatib03_1dof_control.png" caption="<span class=\"figure-number\">Figure 2: </span>1 DoF control of a spring-mass-damping system" >}}
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Consider the control system figure [2](#figure--fig:alkhatib03-1dof-control), the equation of motion of the system is:
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Consider the control system [Figure 2](#figure--fig:alkhatib03-1dof-control), the equation of motion of the system is:
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\\[ m\ddot{x} + c\dot{x} + kx = f\_a + f \\]
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The controller force can be expressed as: \\(f\_a = -g\_a \ddot{x} + g\_v \dot{x} + g\_d x\\). The equation of motion becomes:
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