Update Content - 2024-08-09
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@ -94,7 +94,7 @@ There characteristics are shown on table [1](#table--tab:microactuator).
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<a id="table--tab:microactuator"></a>
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<div class="table-caption">
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<span class="table-number"><a href="#table--tab:microactuator">Table 1</a></span>:
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<span class="table-number"><a href="#table--tab:microactuator">Table 1</a>:</span>
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Performance comparison of microactuators
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</div>
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@ -206,7 +206,7 @@ is satisfied, where \\(T\_{zw}\\) is the transfer function from \\(w\\) to \\(z\
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{{< figure src="/ox-hugo/du19_h_inf_diagram.png" caption="<span class=\"figure-number\">Figure 6: </span>Block diagram for \\(\mathcal{H}\_\infty\\) loop shaping method to design the controller \\(C(s)\\) with the weighting function \\(W(s)\\)" >}}
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Equation [1](#org563f2ec) means that \\(S(s)\\) can be shaped similarly to the inverse of the chosen weighting function \\(W(s)\\).
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Equation [1](#org60aa04e) means that \\(S(s)\\) can be shaped similarly to the inverse of the chosen weighting function \\(W(s)\\).
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One form of \\(W(s)\\) is taken as
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\begin{equation}
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@ -339,7 +339,7 @@ A decoupled control structure can be used for the three-stage actuation system (
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The overall sensitivity function is
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\\[ S(z) = \approx S\_v(z) S\_p(z) S\_m(z) \\]
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with \\(S\_v(z)\\) and \\(S\_p(z)\\) are defined in equation [1](#org9bf2b8d) and
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with \\(S\_v(z)\\) and \\(S\_p(z)\\) are defined in equation [1](#org3237465) and
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\\[ S\_m(z) = \frac{1}{1 + P\_m(z) C\_m(z)} \\]
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Denote the dual-stage open-loop transfer function as \\(G\_d\\)
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@ -105,7 +105,7 @@ The table [1](#table--tab:adv-dis-type-control) summarizes the main features of
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<a id="table--tab:adv-dis-type-control"></a>
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<div class="table-caption">
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<span class="table-number"><a href="#table--tab:adv-dis-type-control">Table 1</a></span>:
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<span class="table-number"><a href="#table--tab:adv-dis-type-control">Table 1</a>:</span>
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Advantages and Disadvantages of some types of control
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</div>
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@ -353,7 +353,7 @@ Typical values of the modal damping ratio are summarized on table <tab:damping_r
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<a id="table--tab:damping-ratio"></a>
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<div class="table-caption">
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<span class="table-number"><a href="#table--tab:damping-ratio">Table 2</a></span>:
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<span class="table-number"><a href="#table--tab:damping-ratio">Table 2</a>:</span>
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Typical Damping ratio
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</div>
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@ -422,7 +422,7 @@ A **collocated control system** is a control system where:
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<a id="table--tab:dual-actuator-sensor"></a>
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<div class="table-caption">
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<span class="table-number"><a href="#table--tab:dual-actuator-sensor">Table 3</a></span>:
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<span class="table-number"><a href="#table--tab:dual-actuator-sensor">Table 3</a>:</span>
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Examples of dual actuators and sensors
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</div>
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@ -619,7 +619,7 @@ The core of the control system is the _plant_, which is the physical system that
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<a id="table--tab:walk-control-loop"></a>
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<div class="table-caption">
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<span class="table-number"><a href="#table--tab:walk-control-loop">Table 3</a>:</span>
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Symbols used in Figure <a href="#org8d343af">3</a>
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Symbols used in Figure <a href="#org4b1b612">3</a>
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</div>
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| Symbol | Meaning | Unit |
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@ -24,7 +24,7 @@ PDF version
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## Introduction {#introduction}
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<span class="org-target" id="org-target--sec:introduction"></span>
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<span class="org-target" id="org-target--sec-introduction"></span>
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This book is intended to give some analysis and design tools for the increase number of engineers and researchers who are interested in the design and implementation of parallel robots.
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A systematic approach is presented to analyze the kinematics, dynamics and control of parallel robots.
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@ -49,7 +49,7 @@ The control of parallel robots is elaborated in the last two chapters, in which
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## Motion Representation {#motion-representation}
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<span class="org-target" id="org-target--sec:motion_representation"></span>
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<span class="org-target" id="org-target--sec-motion-representation"></span>
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### Spatial Motion Representation {#spatial-motion-representation}
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@ -429,7 +429,7 @@ Hence, the **inverse of the transformation matrix** can be obtain by
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## Kinematics {#kinematics}
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<span class="org-target" id="org-target--sec:kinematics"></span>
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<span class="org-target" id="org-target--sec-kinematics"></span>
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### Introduction {#introduction}
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@ -583,7 +583,7 @@ The complexity of the problem depends widely on the manipulator architecture and
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## Jacobian: Velocities and Static Forces {#jacobian-velocities-and-static-forces}
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<span class="org-target" id="org-target--sec:jacobian"></span>
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<span class="org-target" id="org-target--sec-jacobian"></span>
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### Introduction {#introduction}
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@ -1125,7 +1125,7 @@ The largest axis of the stiffness transformation hyper-ellipsoid is given by thi
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## Dynamics {#dynamics}
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<span class="org-target" id="org-target--sec:dynamics"></span>
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<span class="org-target" id="org-target--sec-dynamics"></span>
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### Introduction {#introduction}
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@ -1783,7 +1783,7 @@ Therefore, actuator forces \\(\bm{\tau}\\) are computed in the simulation from
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## Motion Control {#motion-control}
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<span class="org-target" id="org-target--sec:motion_control"></span>
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<span class="org-target" id="org-target--sec-motion-control"></span>
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### Introduction {#introduction}
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@ -1804,7 +1804,7 @@ However, using advanced techniques in nonlinear and MIMO control permits to over
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### Controller Topology {#controller-topology}
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<span class="org-target" id="org-target--sec:control_topology"></span>
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<span class="org-target" id="org-target--sec-control-topology"></span>
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<div class="important">
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@ -1899,7 +1899,7 @@ For a fully parallel manipulator such as the Stewart-Gough platform, this mappin
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### Motion Control in Task Space {#motion-control-in-task-space}
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<span class="org-target" id="org-target--sec:control_task_space"></span>
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<span class="org-target" id="org-target--sec-control-task-space"></span>
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#### Decentralized PD Control {#decentralized-pd-control}
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@ -2547,7 +2547,7 @@ Hence, it is recommended to design and implement controllers in the task space,
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## Force Control {#force-control}
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<span class="org-target" id="org-target--sec:force:control"></span>
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<span class="org-target" id="org-target--sec-force-control"></span>
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### Introduction {#introduction}
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