# Inverted Pendulum: Simulink Controller Design

From the Inverted Pendulum: Simulink Modeling page we generated two different simulation models. We will now employ these models within Simulink to design different approaches to control and simulate the resulting closed-loop behavior.

## Contents

## Problem setup and design requirements

In this problem, the cart with an inverted pendulum, shown below, is "bumped" with an impulse force, .

For this example, let's assume that

(M) mass of the cart 0.5 kg

(m) mass of the pendulum 0.2 kg

(b) friction of the cart 0.1 N/m/sec

(l) length to pendulum center of mass 0.3 m

(I) inertia of the pendulum 0.006 kg*m^2

(F) force applied to the cart N

(x) cart position coordinate m

(theta) pendulum angle from vertical radians

In the design process we will develop a PID controller and apply it to a single-input, single-output plant. More specifically, the controller will attempt to maintain the pendulum vertically upward when the cart is subjected to a 1-Nsec impulse. The cart's position will be ignored. Under these conditions, the design criteria are:

- Settling time of less than 5 seconds
- Pendulum should not move more than 0.05 radians away from the vertical

## Implementing PID control for the nonlinear model

In the Inverted Pendulum: PID Controller Design page a PID controller was designed with proportional, integral, and derivative gains equal to 100, 1, and 20, respectively. To implement this closed-loop system, we will start with one of our plant models from the Inverted Pendulum: Simulink Modeling page. Following the steps below, we will build a closed-loop model with reference input of pendulum position and a disturbance force applied to the cart.

- To begin, open either of the Simulink models generated previously. You can download them by right-clicking on Pend_Model.slx or Pend_Model_Simscape.slx and then selecting
**Save link as ...**. We will use the Simscape model to leverage the animation capabilities it offers. - Insert two Add blocks from Simulink/Math Operations library.
- Change the
**List of signs:**of one of the Add blocks to "+-". - Insert a Constant block from Simulink/Sources library. Change its value to 0. This is the reference input that corresponds to the pendulum vertically upward. Note, the non-Simscape model (and the rest of the pages in this example) define the pendulum angle to equal pi when pointing straight up.
- Insert a PID Controller block from the Simulink/Continuous library.
- Edit the PID block by doubleclicking on it. Change the
**Proportional (P):**gain to "100", leave the**Integral (I):**gain as "1", and change the**Derivative (D):**gain to "20". - Now connect the blocks as they appear in the following figure:

You can download our version by right-clicking here and then selecting **Save link as ...**.

## Nonlinear closed-loop response

We can now simulate the closed-loop system. Be sure that the physical parameters are set as follows.

M = 0.5; m = 0.2; b = 0.1; I = 0.006; g = 9.8; l = 0.3;

Now, start the simulation (select **Run** from the **Simulation** menu or enter **Ctrl-T**). As the simulation runs, an animation of the inverted pendulum will visualize the system's resulting motion. Recall that
the **Show animation during simulation** option must be checked under the **Simulation > Model Configuration Parameters** menu. After the simulation has run you should see the following response.

This response is almost identical to the closed-loop response obtained in the MATLAB tutorials (for example, in the Inverted Pendulum: PID Controller Design page). Note that the PID controller handles the nonlinear system very well because the deviation of the angle from the operating point is very small (approximately .05 radians).