Chapter 9, Linear Control Video Solutions, Structural Motion Engineering | Numerade (2024)

Jerome Connor, Simon Laflamme

Chapter 9

Linear Control - all with Video Answers

Educators

Chapter Questions

Problem 1

Consider Eq. (8.75). Integrating this cquation between $t_j$ and $t_{j+1}$ leads to
$$
\mathbf{X}_{j+1}-\mathbf{X}_j=\int_{t_j}^{t_{j+1}}\left(\mathbf{A X}+\mathbf{B}_f \mathbf{F}+\mathbf{B}_g a_g+\mathbf{B}_p p\right) d t
$$

Suppose the integrand is assumed to vary linearly over the time interval, and the coefficient matrices $\mathbf{A}, \mathbf{B}_f, \ldots$, are constant.
1. Derive the expression for corresponding to these conditions. Compare this result with Eq. (8.78). Comment on the nature of the error.
2. Specialize 1. for negative linear feedback, and compare with Eq. (8.83).
3. Specialize 2. for no time delay and free vibration response. Compare with Eq. (8.87). Define the stability requirement for this approximation.

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Problem 2

Verify Eq. (9.34) using the CARE function of MATLAB. Take
$$
\begin{aligned}
& m=1,000 \mathrm{~kg} \quad k=60,000 \mathrm{~N} / \mathrm{m} \quad c=750 \mathrm{~N} \cdot \mathrm{s} / \mathrm{m} \\
& c=1 \quad q_d=0 \quad q_v=4 \omega^2 m^2 \bar{q}_v
\end{aligned}
$$
and consider $\bar{q}_v$ to have the following values: $0,0.5,1.0$.

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Problem 3

Refer to Eq. (9.36). Will the LQR algorithm ever produce an unstable system?

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Problem 4

Consider Eq. (9.44). Let
$$
\begin{aligned}
\mathbf{D} & =\mathbf{Q}+\mathbf{K}_f^T \mathbf{R} \mathbf{K}_f \\
\mathbf{S}_n & =\sum_{j=0}^n \mathbf{C}^j{ }^T \mathbf{D} \mathbf{C}^j
\end{aligned}
$$

Noting the identity,
$$
\mathbf{C}^T \mathbf{S}_n \mathbf{C}-\mathbf{S}_n=-\mathbf{S}+\mathbf{C}^{n+1} \cdot T \mathbf{D C}^{n+1}
$$
and the limit condition,
$$
\mathbf{C}^j \rightarrow 0 \text { as } j \rightarrow \infty
$$
derive Eq. (9.45).

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Problem 5

Refer to Figs. 9.3 and 9.4 of Example 9.1. Suppose the time ratio $\Delta t / T$ is determined by the external loading, and is equal to 0.1 . Suggest a value for $\bar{q}_v$ such that $\xi_a$ is close to 0.2 when $\xi=0.05$.

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Problem 6

Consider the following system:
$$
\begin{aligned}
m & =1,000 \mathrm{~kg} \\
k & =60,000 \mathrm{~N} / \mathrm{m} \\
c & =1,000 \mathrm{~N} \cdot \mathrm{s} / \mathrm{m}
\end{aligned}
$$

Suppose $\Delta t=0.02 \mathrm{~s}$. Select the parameters for discrete time feedback control such that the effective damping ratio is equal to 0.2 . Use Figs, 9.3 and 9.4 of Example 9.1 to obtain an initial estimate, and the function dare in MATLAB to refine the estimate. Note that the solution tends toward the continuous time feedback case as $\Delta t / T$ approaches 0 .

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Problem 7

Refer to Example 9.2. Compare the expressions for $k_d$ and $k_v$ corresponding to $q_d=0$ with the continuous time Riccati solution defined by Eq. (9.37). Use the discrete time Riccati solution for $\xi=0.02$ listed in Example 9.1 to compare the values of $q_v$ required to produce $\left(k_v / 2 \omega m\right)=0.2$ for two time increments, $\Delta t / T=0.02$ and 0.1 .

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Problem 8

Rework Problem 9.12 using the finite interval discrete time algebraic Riccati equation. Note that the weighting factors for the finite interval formulation are different from the corresponding weighting factors for the discrete time algebraic Riccati equation.

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Problem 9

Verify Eq. (8.146).

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Problem 10

Consider an SDOF system having the following properties:
$$
\begin{array}{r}
m=10,000 \mathrm{~kg} \\
k=400,000 \mathrm{kN} / \mathrm{m} \\
c=2,500 \mathrm{kN} \cdot \mathrm{s} / \mathrm{m}
\end{array}
$$
1. Using the LQR control algorithm, establish values for the weighting parameters such that the effective damping for continuous velocity feedback has the following values: $\xi_{\mathrm{eq}}=0.05,0.1,0.2$.
2. Take $\Delta t=0.02 \mathrm{~s}$. Evaluate the discrete time damping ratios for 1 .
3. Using the finite time interval control algorithm, establish values for the weighting parameters such that the discrete time damping ratios are the same as found in 2 .
4. Using the model properties corresponding to $\xi_{\text {eq }}$ established in 1., determine the maximum values of the displacement, control force, and power associated with the El Centro accelerogram. Use $\Delta t=0.02$.
5. Repeat 4. for the Kobe accelerogram.
6. Repeat 4, for the Mexico City 1 accelerogram.

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Problem 11

Consider a 4DOF system having the properties shown in Table P9.11a.
$$
\begin{array}{lccl}
\hline \text { Node/Element } & m(\mathrm{~kg}) & k(\mathrm{kN} / \mathrm{m}) & c(\mathrm{kN} \cdot \mathrm{s} / \mathrm{m}) \\
\hline 1 & 1,000 & 1,700 & 4 \\
\hline 2 & 1,000 & 1,400 & 3 \\
\hline 3 & 1,000 & 1,000 & 2 \\
4 & 1,000 & 700 & 1 \\
\hline
\end{array}
$$
Suppose a single control force is applied at the top node. Using the LQR algorithm, select the weighting parameters which result in a value of the damping ratio for discrete feedback equal to 0.2 for the first mode. Take $\Delta t=0.02 \mathrm{~s}$, and apply the following strategies:
1. Use the conventional state-space formulation and weight the nodal velocities uniformly.
2. Use the modal state-space formulation and weight the first derivative of the modal coordinates uniformly.
3. Use the conventional state-space formulation and weight the element deformation rates uniformly.
4. Repeat 3. using the modal state-space formulation.

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Problem 12

Consider a 5DOF shear beam with the following constant mass and stiffness properties:
$$
\begin{aligned}
m & =10,000 \mathrm{~kg} \\
k & =350,000 \mathrm{~N} / \mathrm{m}
\end{aligned}
$$
1. Assuming uniform element viscous damping, determine the magnitude of element damping such that the first mode damping ratio is 0.02 .
2. Apply a single control force at mode 5. Assuming all five modes are retained, and they are weighted equally, determine the weighting parameters such that the equivalent damping for continuous feedback is 0.15 for the first mode.
3. Determine the corresponding damping ratio for discrete time feedback. Take $\Delta t=0.02 \mathrm{~s}$.
4. Investigate the effect of delay on the free vibration response of the modal coordinates due to an initial displacement. Use $\Delta t=0.02 \mathrm{~s}$ and the parameters established in part 2 .

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Problem 13

Consider the 5DOF systems shown in Table P9.13a.

1. Suppose control forces are applied at all five nodes. Determine the modal coordinate weighting parameters such that the equivalent damping ratio corresponding to continuous feedback is equal to 0.15 for the first mode. Assume uniform weighting.
2. Suppose self-equilibrating sets of control forces are applied on all five elements and the weighting is applied to the element deformation time rates. Determine the weights such that the first mode damping ratio is 0.15 . Assume uniform weighting.
3. Apply the Northridge earthquake to the models obtained in 1. and 2. Compare
(a) the internode displacement profiles
(b) the peak power
(c) the peak value of the control forces

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Problem 14

Consider a 10DOF shear beam with constant mass, element stiffness, and element damping. Take $m=10,000 \mathrm{~kg}$.
1. Determine the stiffness and damping constants such that the properties for the first mode are
$$
\begin{aligned}
& \text { Period }=1 \mathrm{~s} \\
& \text { Damping ratio }=0.02
\end{aligned}
$$
2. Select an active control force scheme which provides a damping ratio of 0.2 for the first mode.
3. Apply the Kobe ground acceleration to the system defined in 2. Examine the responses of the first three modes. Generate both the time histories and the Fourier components.
4. If the design objective is to have uniform peak element shear deformation throughout the system, what design modifications would you suggest? Illustrate
your strategy for the case where the target value of the relative internodal displacement is $0.0125 \mathrm{~m}$.

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Problem 15

Consider a 10DOF shear beam with constant nodal mass equal to $10,000 \mathrm{~kg}$.
1. Select a parabolic distribution of element stiffness and a constant element viscous damping so that the period for the first mode is $1 \mathrm{~s}$, and the modal damping ratio is 0.02 .
2. Carry out iteration on the element stiffness using the $\mathrm{El}$ Centro ground excitation and $0.0125 \mathrm{~m}$ as the desired value of internodal displacement.
3. Incorporate active control in the system obtained in part 2 . Select the weighting parameters such that the modal damping ratios (for continuous feedback) for the first three modes are approximately equal to 0.15 . Consider a global forcing scheme and weight the modal coordinate velocities.
4. Repeat 3. using self-equilibrating control force schemes and weight the modal coordinate velocities.
5. Repeat 4. using the internodal element displacements as the performance measures. (See Example 9.5.)

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Problem 16

Consider the bending beam-outrigger system shown in Fig. P9.16a. Assume the outriggers are infinitely stiff, the beam bending rigidity is constant, and the cables are initially tensioned to a level of $T_0$. Suppose the cable tensions can be continuously adjusted to counteract the effect of lateral load.
Fig. P9.16a Bending beam-outrigger system
1. Take the lateral displacement and rotation at points $B, C$ as the degrees of freedom and establish the corresponding matrix form of the equilibrium equations. Work with "lumped" masses, rotatory incrtias, and loads.
2. Develop the state-space formulation for 1 .
3. Describe how you would implement linear velocity feedback control.
4. Suppose the bending rigidity is specified and the critical dynamic loading is a uniform periodic excitation. Discuss how you would "calibrate" the feedback parameters for the case where the design objective is to limit the maximum acceleration. Illustrate your strategy.

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Problem 17

Consider an undamped SDOF system with acceleration-based negative linear feedback. The governing equation for free vibration response allowing for time delay is
$$
m \ddot{u}+k u+k_m \ddot{u}(t-\tau)=0
$$
1. Express the hom*ogeneous solution as $u=e^{\lambda r}$. Derive the following expression for $\lambda$.
$$
\lambda^2\left(m+e^{-\lambda \tau} k_m\right)+k=0
$$
2. Substitute for $e^{-\lambda \tau}$ using the Pade approximation, Eq. (8.52), in (P17.1) and the following notation:
$$
\begin{aligned}
k_m & =\alpha m \\
\tau & =\frac{1}{\omega} \bar{\tau}=\frac{T}{2 \pi} \bar{\tau}
\end{aligned}
$$

Show that (P17.1) expands to
$$
\bar{\lambda}^3(1-\alpha) \frac{\bar{\tau}}{2}+\bar{\lambda}^2(1+\alpha)+\bar{\lambda} \frac{\bar{\tau}}{2}+1=0
$$
3. Take $\alpha=0.05$. Solve (P17.2) for a set of values of $\bar{\tau}$ ranging from 0 to $\pi$. Plot $\lambda_I$ vs $\lambda_R$. Discuss whether instability is possible as the delay increases.
4. Following the approach described in Sect. 8.2, express $\lambda$ as
$$
\lambda=i \Theta
$$
and substitute for $\bar{\lambda}$ in (P17.1). Verify that the solution for $\Theta$ and the maximum allowable $\bar{\tau}$ is
$$
\begin{aligned}
\Theta^2 & =\frac{1}{1-\alpha} \\
\bar{\tau}_{\max } & =\frac{\pi}{\Theta}=(1-\alpha)^{1 / 2} \pi \\
\tau_{\max } & =\frac{T}{2}(1-\alpha)^{1 / 2}
\end{aligned}
$$

Compare this result with that obtained with the Pade approximation.

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Chapter 9, Linear Control Video Solutions, Structural Motion Engineering | Numerade (2024)

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