AnyLogic: How to set pedestrian comfortable speed beyond the range - anylogic

I got the problem of the pedestrian library. I would like to use the pedestrian library to simulate the behavior of the vehicle, therefore, I would like to set the comfortable speed of the agent to be, say 70km/h. However, there is an error saying the speed has to be within [0mps, 10mps]. Is there any way to set whatever speed I want?
Thank you,
Jiannan

First why don't you use the road traffic library? But you must have your reasons.
You can't change the maximum speed value, but what you can do, which is not a very elegant solution, but a solution nonetheless, is to change the time scale of your model. There is no direct option for that, so you basically have to create your own clock that runs your way.
So for instance, if you want your car to move at 20mps, you choose 10 mps as the comfortable speed and you have the transformation customTime(time())=0.5*time(), where custom time is your own function.
So every time 1 second passes in the simulation, in your custom clock only 0.5 seconds will pass... You just have to take care of the statistics you are collecting so they fit your time scale.
Also, you will have to change everything according to your clock in your model, because Anylogic will continue showing you things in normal seconds.
Hope that helps :)

Related

Energy Consumption in Anylogic

I would like to analyse the electrical energy consumed by a furnace in a conveyor system. Is there a method or specific function to do this using Anylogic?
I've found little material surrounding this, so pointing in the right direction would be great.
Simple answer: There is no build-in functionality. But you can easily do this yourself.
If you want very high accuracy, you should check system dynamics (but this slows your model quite a bit).
If you want a simple approach, I can think of this:
create a variable elecConsumptionPerMin in your furnace agent
create an event consumeElec in your furnace that cyclically (every minute) adds to the total furnace consumption (another variable)
on model startup, ideally set myFurnace.consumeElec.suspend()
when the furnace starts producing, call ´myFurnace.consumeElec.resume()` to start consuming enegery
Obviously, you can refine this to the nth degree and you might also want to experiment with state charts. But this is the simple approach

Matlab Simulink: while loop with subtraction

I am hoping somebody here will be able to help me out with my small issue with one of the Simulink/Matlab code. It is quite similar to the problem that I’ve discussed earlier, but a little bit more complicated and now it is more a Simulink issue, rather than a Matlab one.
So I have a turbine which speed is controlled by the gate’s opening, hence the control voltage. By controlling the gate opening I am accelerating the turbine and at some point in time, I need to introduce a saturation effect (since I am testing the code now, it will be done an external signal). This effect won’t change the control voltage, but it affects other components of the system, hence at the same control voltage, the turbine’s speed will go up. But at the same time, I need to keep the speed at the same value as it was before the saturation effect (let’s say it was 320 rpm). To do so I need to decrease the control voltage and should keep doing it until I reach the speed as it was before. There is no need to do it instantly (this approach will be later introduced in hardware), but it will be a nice thing to check the algorithm in these synthetic tests.
In terms of the model, I was planning to use a while loop with the speed requirement “if speed > 320” again, now just to simplify things. To decrease the control voltage I was planning to subtract from the original 50 (% opening) - 0.25 (u2) at first and after that increasing this value by 0.25 until I decrease the speed below 320. I can’t know the exact opening when this requirement will be satisfied, hence I need some kind of algorithm to “track” this voltage.
So it should be something like this:
u2 = 0;
While speed > 320
u2 = u2+0.25
End
u2 is initially zero since we have a predefined initial control voltage. And obviously, when we reach the motor’s speed below 320, I need to keep the latest value of the u2 (and control voltage).
Overall, it is a small code and should be done in Simulink (don’t want to introduce any other Fcn function into the model). I’ve never used while and if blocks in Simulink, but so far I came up with this system. It’s a simplified version of my model, but the control principle is the same.
We are getting the motor speed of 350, compared with 320 (the speed before “saturation), and if our speed after saturation is higher, we need to reduce the control voltage. To trigger the while loop block I’ve decided to use a simple switch. The while block meanwhile is:
Definitely not the best implementation but I was trying a lot of different combinations and without any real success. I am always getting the same error:
Was trying to use a step signal instead of the constant “7” – to model acceleration of the motor, and was getting the same error at the moment of acceleration above 320 threshold. So looks like the approach is almost right but mathematically it fails to find the most suitable solution. I’ve tried to implement a transport delay in the memory part of the while subsystem but was getting errors during compilation all the time.
Are there any obvious (and not so) mistakes? Or maybe from the beginning, I should have chosen another approach… I really hope that somebody will be able to help. Thank you in advance and have a great day.
I do not think that you have used While block correctly.
This is what I have done, I used a "Matlab function" block instead of "While" block as follows,
The function in Matlab function is
function u2=fcn(speed,u2d)
if speed>320
u2=u2d+0.25;
else
u2=u2d;
end
And the results I have got, Scope 1
Scope
Edit
As you prefer a function free model, the following may do the same.

Set NetLogo Display rate Constant

I have a NetLogo model where the number of agents changes/reduces with time. I notice the model runs faster as the agents are less(ticks increment quickly).
How can keep it constant, probably set to upperlimit.
There are two ways of doing that. One is to lower the speed using the speed slider at the top of model view. This essentially sets an upper limit.
Another, programmatic, way is to use the every (click for link) keyword. That gives you more exact control over how your model executes, but keep in mind there is a CPU overhead using that.

How to use the value of the variable in the previous interval as an input to the equation....?

Is it possible to use the previous value of the time varying variable
for eg:
Suppose I have pipe whose inlet temperature is 298K with a specified uniform mass flow(m_flow), now suppose i am heating the pipe using a heater of 100 watts.
The outlet temperature will be attain a higher temperature of suppose 302K, now if i have to use this outlet temperature as my inlet temperature (in the sense i am recircuilating the water), how would i be doing it?
is it possible to update the value of the inlet temperature based on the outlet temperature at the previous timestep? so that for the next iteration the inlet temperature will be the same as the oulet temperature in the previous iteration (in other words the fluid would be recirculating).
Thanks
You cannot access the value in the previous time step. The closest you can get in Modelica is using delay(exp,T) to get the value T units of time ago.
The timestep does not enter into it at all. A model that uses information about timestep is just wrong. Nature doesn't know or care about integration time steps, the model should reflect that.
It seems to me what you want to capture is transport delay. Transport delay is the delay introduced by the time it takes for molecules, electrons, etc. through the system. So presumably what you wish to model is the time it takes the inlet fluid to reach the exit. Again, this has nothing to do with the integration timestep but rather the velocity of the fluid and the distance it must travel. Once you know how long that takes (by either a priori knowledge of the system of by looking at the simulation results themselves), you can follow Marco's suggestion of using the delay operator.
In order to setup a proper model for the system you described I suggest you to look at the example :
Modelica.Thermal.FluidHeatFlow.Examples.IndirectCooling
of the modelica standard library ver. 3.2. Instead of one pipe you can put an ambient or control volume component to better suit you needs. Moreover using continous and differentiable equations (the delay function is not) you will benefit from some of the advantages of the Modelica code, e.g. you will be able to reuse your models in a much wider range of cases, solve inverse problems, solve initial value problems, ...
I hope this helps,
Marco

Whate are the basic concepts for implementing anti-shock and anti-shake algorithms?

I have some animations happening upon fine acceleration detections. But when the user sits in a car or is walking it may get annoying.
Basically, all that stuff has to be disabled automatically as soon as there is too much vibration or shaking. Conceptually, I think that it's very hard to filter those vibrations out , since the "vibration phase" changes permanently. I woul define "unwanted vibration or shocks" as acceleration values that change very fast by an large interval of values, or, an permanently changing accumulated value that does not exceed an specified treshold range in an specified minimum period of time.
I am looking for "proven" concepts, before I start reinventing the wheel for a couple of days.
I don't have any concrete answers for you, but you might want to Google band-pass filters or anti-aliasing filters for some ideas on how to approach this. Basically, if you can identify the frequency range of accelerations that you want to consider real, you can filter out frequencies that fall outside this range.
Before you start doing too much pre-optimization, I think you should implement a low pass filter and see if that does the job. Most iPhone apps effectively use a variation of an LPF to get rid of unwanted accelerometer noise.
You could also go the other way and use a high pass filter. Once you get a certain power level passing through the HPF, stop processing data.