Answer: An inverted pendulum mounted on a motor-driven
Chapter 12, Problem 41(choose chapter or problem)
The study of the flexible links, such as the one shown in Figure P12.7, is important because of their application to the control of flexible lightweight robots (Saini, 2012). The flexible link angle is deflected by a servomotor. It is assumed that the base angle, \(\theta(t)\), and the tip angular deflection relative to the undeformed link, \(\alpha(t)\), can be measured. For a specific setup, a state-space model of the system was developed. The state vector is \(\mathbf{x}=\left[\begin{array}{llll}\theta & \alpha & \omega & \dot{\alpha}\end{array}\right]^T\), where \(\omega(t)=\dot{\theta}(t)\) and input u(t) is the voltage applied to the servomotor. Thus the system is represented as \(\dot{\mathbf{x}}=\mathbf{A x}+\mathbf{B} u, y=\mathbf{C x}\) where
\(\mathbf{A}=\left[\begin{array}{rccc} 0 & 0 & 1 & 0 \\ 0 & 0 & 0 & 1 \\ 0 & 673.07 & -35.1667 & 0 \\ 0 & -1023.07 & 35.1667 & 0 \end{array}\right]\)
\(\mathbf{B}=\left[\begin{array}{c} 0 \\ 0 \\ 61.7325 \\ -61.7325 \end{array}\right]\)
\(\mathbf{C}=\left[\begin{array}{llll} 1 & 1 & 0 & 0 \end{array}\right]\)
It is desired to build state-feedback compensation around this system so that the system's characteristic equation becomes D(s) = \((s+10)^4\). In order to do this:
a. Find the system's controllability matrix \(\mathbf{C}_{\mathbf{M}_{\mathbf{o}}}\) and show that the system is controllable.
b. Find the original system's characteristic equation and use it to find a phase-variable representation of the system.
c. Find the phase-variable system's controllability matrix \(\mathbf{C}_{\mathbf{M}_{\mathbf{P}}}\) and then find the transformation matrix \(\mathbf{P}=\mathbf{C}_{\mathbf{M}_0} \mathbf{C}_{\mathbf{M}_{\mathbf{P}}}^{-1}\)
d. Use the phase-variable representation to find a feedback gain matrix \(\mathbf{K}_{\mathbf{P}}=\left[\begin{array}{llll}k_{1 p} & k_{2 p} & k_{3 p} & k_{4 p}\end{array}\right]\) that will place the closed-loop poles in the desired positions.
e. Find the corresponding feedback gain matrix \(\mathbf{K}_{\mathbf{O}}=\mathbf{K}_{\mathbf{P}} \mathbf{P}^{-1}\).
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