Inertia Ratio and Inertia Matching

In summary, the motion control engineer is trying to explain to the mechanical engineers that their design just won't work. He has shown them graphs, drawn them diagrams, and written down equations, but at the end of the day, it is still their problem. He has explained that there is a mismatch between the motor's inertia and the load's inertia, and that this mismatch is necessary in order for the drive to control the load. He has also explained that there are many options available to reduce the mismatch, but the mechanical engineers are not interested.
  • #1
FlexGunship
Gold Member
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Okay guys, this one isn't for me; it's for my mechanical brethren.

I'm a motion control engineer and I was assigned to a project to control an axis with high-dynamicism using a low-inertia, high-torque motor. The ratio of the motor inertia to the reflected load inertia is greater than 1:400. Now, to me, it's obvious that there is no shaft coupling in existence that is stiff enough to make this work.

I have shown the mechanical group bode plots, demonstrated regions of stability compared to their terrible step-response and oscillating step-responses with regions of instability. I've tried to explain the dynamics of PID-controllers and the closed loop phase margin. But NOTHING is getting through to these mechanical engineers.

How can I explain to them that their design JUST... WON'T... WORK?!

I show them graphs, draw them diagrams, write down equations... but at the end of the day, this is still some how my problem and I'm supposed to make it work. They keep telling me that the motor has plenty of torque (as if that had something to do with the problem). I calculate a needed bandwidth of 100Hz or more with less than 90 degrees of phase lag, but the open-loop response has 90 degrees of lag before 1Hz!

What words can use to show these guys what I mean? What pictures can I draw?!
 
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  • #2
You are correct, the torque available from the motor will not help.

The concept of inertia mismatch isn't typically taught to mechanical engineers (not listed in any text I have).

However it does apply to many motion control applications (not as relevant with direct drive rotary or linear motor applications).

It is likely that your load will simply not be controllable as your studies have suggested. Typically, for even moderately dynamic applications, you will want the mismatch to be below 10; the closer to unity the better. The higher the mismatch, the harder the drive will have to work to control the load.

Many gear reducer manufacturers suggest limiting mismatch based on the number of starts per hour to minimize shock loading; motors are often upsized for this reason.

Any good servo sizing software will include analysis of mismatch and include guidelines and explanations.

A good analogy is based on a pair of linked masses with a spring (and backlash) between them - extremes work best.

Imagine a strong man pulling a truck with an elastic rope; the truck not moving until the rope has stretched quite a bit. The man will have a great deal of trouble trying to control the truck due to its high inertia, and the elasticity and backlash in the rope. Imagine also that the man can't continuously feel the tension in the rope, that he can only sample it every few seconds and that he has to stop the truck precisely without looking at it. He also has such a short memory that he doesn't remember that he is even pulling a truck or how heavy it is once it starts moving (until it plows him down). At best, he can sample the tension very frequently (still not enough cause his memory is still too short).

More ideally, 2 billiard balls of identical mass attached by a imaginary string and spring will bounce off each other transferring momentum back and forth with little loss.

The phenomenon is I think analogous to maximum power transfer theory, and momentum transfer.

Can I assume that you are using a gear reducer to reduce the mismatch, and that you are aware that they (gearboxes) reduce inertia by the square of the ratio?

Other options - a direct drive motor that eliminates the need for a reducer and allows for a much higher mismatch (because there is no coupling or backlash).
 
  • #3
Thanks for taking the time to address my question.

Firstly, yes, I have recommended a few solutions. The first is a 7:1 to 10:1 low-backlash planetary gearbox with load balancing. The second is switching to a worm gear and pre-loading it to prevent backlash. The third is a much larger motor with a larger shaft diameter (the shaft is the weak link in the coupling chain at ~10^4 Nm/rad); high-dynamic motors, by their nature, have low inertia shafts which makes them, generally, more flexible.

Secondly, by my calculations, there's no coupling on Earth that could cut the phase margin low enough to extend the bandwidth past 20Hz or so. The weak link the motor that the mechanical engineers have spec'd out. The problem, as I'm sure you know, is that torsional stiffnesses add like resistors in parallel. Two coupling in series with torsional stiffness of "x" have an equivalent stiffness of "x/2." No amount of adding stiffer couplings can fix the fact that the motor shaft is not stiff enough. Even a direct drive shaft made of an adamantium/unobtainium alloy would not solve the problem.

Thirdly, your example is great, I used a slightly different one with the same basic idea: try to control the location of a very heavy textbook by using a rubber band and wearing a blindfold. Your knowledge of the book's location is severely compromised. No amount of "tuning" your behavior will ever give you adequate control over the textbook's location.

Lastly, with a ratio of 400:1, I cannot imagine a solution that does not involve a gearbox. My problem is not finding a solution. I have one. It's convincing the mechanical engineers that this is a real problem and that I can't fix it by tuning the PI speed loop, or the PV position loop. They still think I'm just a whiny knucklehead.
 
  • #4
I have a very unique solution for the inertia mismatch problem. It eliminates the structural resonances as a limitation. The servo bandwidth is then only limited by the drive bandwidth and/or the sensor bandwidth. I can close the loop above the resonant frequencies with good margins. The technique is very robust. I filed a patent application for the technique in Sept 2009. If you are interested, email me at servoengineer at gmail dot com. I have 45 years of experience designing and building servos and have specialized in servos that control flexible loads.
 
  • #5
One more comment: My technique allows the servo to control the load even though the motor is connected to the load by a flexible coupling or gearbox.
 

1. What is inertia ratio and why is it important in scientific research?

Inertia ratio is the ratio between the moment of inertia of an object and the moment of inertia of its surroundings. It is important in scientific research because it helps determine how an object will respond to external forces and influences, and is essential in understanding the dynamics and behavior of systems.

2. How is inertia ratio calculated?

Inertia ratio is calculated by dividing the moment of inertia of an object by the moment of inertia of its surroundings. The moment of inertia is a measure of an object's resistance to changes in its rotational motion, and is determined by the shape, mass distribution, and orientation of the object.

3. What is inertia matching and how does it relate to inertia ratio?

Inertia matching is the process of ensuring that the inertia ratio between two objects or systems is within a certain range. It is important in scientific research because if the inertia ratio is too high or too low, it can lead to instability and unpredictable behavior. Inertia matching is closely related to inertia ratio because it involves comparing the moment of inertia values of different objects or systems.

4. Why is it important to achieve inertia matching in experiments and simulations?

Achieving inertia matching is important in experiments and simulations because it helps ensure that the results are accurate and reliable. When the inertia ratio is properly matched, the behavior of the system can be predicted and controlled, which is crucial in scientific research.

5. What are some techniques used to achieve inertia matching?

There are several techniques used to achieve inertia matching in experiments and simulations. Some common methods include changing the mass and dimensions of an object, adjusting the distribution of mass within an object, and using counterweights or additional components to balance the moment of inertia. Computer simulations and modeling can also be used to fine-tune the inertia matching process.

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