Presentation is loading. Please wait.

# Professor Walter W. Olson Department of Mechanical, Industrial and Manufacturing Engineering University of Toledo Laplace Transforms.

## Presentation on theme: "Professor Walter W. Olson Department of Mechanical, Industrial and Manufacturing Engineering University of Toledo Laplace Transforms."— Presentation transcript:

Professor Walter W. Olson Department of Mechanical, Industrial and Manufacturing Engineering University of Toledo Laplace Transforms

Outline of Today’s Lecture Review Phase Phase Computations Full Bode Plot System Identification Using Bode Plots for System Identification Laplace Transform Inverse Laplace Transform Properties of the Laplace Transform Final Value Theorem

Phase For a sinusoidal input, phase represents the lag of the system or, alternatively, the processing time of the system to produce an output from the input Phase is measured as an angle A cycle of the input is consider to take 2  radians or 360 degrees Phase is the angular distance it takes for the output to represent the input Thus it is normal that as the frequency increases that the phase also increase In the case where the phase exceeds 180 degrees, the output appears to “lead” the input. This is particularly evident in the range of 270 to 360 degrees.

Phase As with magnitude there are 4 factors to consider which can be added together for the total phase angle. We will consider, in turn, The sign will be positive if the factor is in the numerator and negative if the factor is in the denominator

Phase Computations

Matlab Command bode(sys)

System Identification It is not unusual for a field engineer to be shown a piece of equipment and then asked if he can put a control system on it or replace the control system for which there are no parts. The task of determining how an unknown structure responds is called “System Identification”. To identify a system, there are many tools are your disposal First and foremost, what should the system structure look like? Motors are often first order transfer functions ( ) which you then attempt to identify the constants Perform step tests and see what the response looks like Perform tests with sinusoidal outputs and use the Bode plot to identify the system Apply statistical/time series methods such as ARMAX and RELS

Using Bode Plots for System Identification The overall order of the system will be the high frequency phase divided by 90 degrees The exponent of the “s” term will be the slope on the magnitude plot at the lowest frequency divided by 20 Alternatively, the exponent of “s” is the lowest frequency phase divided by 90 degrees. The system gain constant (K t ) in dB will be the height value at the extension of the “s” term line on the magnitude plot to where it crosses1 rps Starting from the left (the lowest frequency) on the magnitude plot, determine the structural components using the change in slopes in increments of 20 degrees either up or down Then by using the intersection of the lines at those places match to the test curve, determine the break frequencies Write the transfer function in the form

Laplace Transform Traditionally, Feedback Control Theory was initiated by using the Laplace Transform of the differential equations to develop the Transfer Function The was one caveat: the initial conditions were assumed to be zero. For most systems a simple coordinate change could effect this If not, then a more complicated form using the derivative property of Laplace transforms had to be used which could lead to intractable forms While we derived the transfer function, G(s), using the convolution equation and the state space relationships, the transfer function so derived is a Laplace Transform under zero initial conditions

Laplace Transform CAUTION: Some Mathematics is necessary! The Laplace transform is defined as Fortunately, we rarely have to use these integrals as there are other methods

Laplace Transforms Tables are available for determining the Laplace transform of most common functions This table which continues on the next slide is from Modern Control Engineering by K. Ogata 4 th ed., 2002

Laplace Transforms

Laplace Transform Note that the index on the integral is 0: it is assumed that no dynamics are considered prior to t=0 The Laplace is a linear transform:

Some Common Laplace Transforms The Laplace Transform of the Impulse Function The Laplace Transform of the Step Function The Laplace Transform of a Unit Ramp: The Laplace Transform of the 2 nd power of t: The Place Transform of the n th power of t:

Some Common Laplace Transforms Laplace Trans Form of the exponentials: Laplace Transforms of trigonometric functions:

Examples Find the Laplace Transform of

Lumped Parameter Model of an Armature Controlled DC Motor Find the transfer function for this system with voltage as the input and angular position as the output using Laplace Transforms

Important Inverse Transforms

Examples Find the Inverse Laplace Transform of

Properties of the Laplace Transform Laplace Transforms have several very import properties which are useful in Controls Now, you should see the advantage of having zero initial conditions

Final Value Theorem If f(t) and its derivative satisfy the conditions for Laplace Transforms, then This theorem is very useful in determining the steady state gain of a stable system transfer function Do not apply this to an unstable system as the wrong conclusions will be reached!

Example What is the steady state gain (DC Gain) of the system

Summary Laplace Transform Inverse Laplace Transform Properties of the Laplace Transform Final Value Theorem Next Class: Using the Laplace Transform

Download ppt "Professor Walter W. Olson Department of Mechanical, Industrial and Manufacturing Engineering University of Toledo Laplace Transforms."

Similar presentations

Ads by Google