Deadband | Arduino library to stabilize noisy analog inputs

I use Q1 and Q2 to control T1, so as to realize the simulation scenario of multi-controls. I want to adjust the parameters to achieve which MV has more action, as shown in the figure. I found that I couldn’t achieve the effect I wanted by adjusting the cost of the MV, can anyone give me some suggestions? thanks!

Here is my code:

everyone and Professor John

We are using gekko to do MPC on tclab simulation model. We try to emulate the situation that on site the actuator deviates from MV calculated by gekko because of the problems of actuator.

If the deviation is in the fixed pattern, for example a quite big constant deviation happens for a long time and may come back then work well for a long time. We can deal with it by extra logic to detect deviation and add the deviation value to the mv calculated by gekko.

one day, I noticed that there could be meas for MV when fstatus = 1. So I gave it a try. I hope gekko could deal with the deviation by itself. for example, if mv from gekko is 10 and the measurement is 5 and the pattern continues, gekko may spit out a higher MV value than 10, for example 15 and measurement is 10.

In the simulation, when I set MV's fstatus=1, the MV's curve becomes to :

q1a is the q1 with manual deviation. In the above pic, q1a == q1. It looks like gekko takes one more step thinking about the MV's effect.

In the below pic, there are two times range, one with "q1a == q1+20" and the other with "q1a == q1 -20". q1a's value is fed to tclab and mv(q1)'s meas.

I do not understand why the q1 calculated by gekko is going up or going down when meas deviates despite the t1 is going far away from sp.

Edit: Example Code

See the screen shot below from "normal" HMI. The sluggish MV disappeared, so it maybe caused by bug in my code. But the up-going or down-going could still be seen. See my code below:

Below is an OPC Client written in VBA. It is using the OPC Foundation DA libraries. I am able to get the current value of the item (I can read it in locals window), but it is not assigning the value to myValue = theItem.Value Hovering over theItem.Value during a break shows the value as well.

Any thoughts?

I recently try to control my TCLab Arduino through a state space model. I refer to State Space Models and transform a first order linear system (without time delay) into state space form, the control effect is pretty good. Now I want to use first order plus dead time model to control the lab, but I don't know how to transform FOPDT model into state space form. How to add time delay in state space model?

Here is the code:

I put the result of Gekko's calculation into the queue, after a delay, write the first value of the queue to TCLab Arduino. I use this method to simulate a factory large time delay system, then I optimize Gekko parameters to achieve better control effect. When I add a delay=1 in the model, I got a pretty good prediction curve:

The final control effect is also pretty good:

But when I set delay=80, no other parameters are modified, the prediction curve is not ideal：

The final control effect is also bad:

Why the delay parameter affects the prediction curve? I think the reference trajectory should also shift with time delay. How could I solve this problem?

Here is the code:

I put the result of Gekko's calculation into the queue, after 80s, write the first value of the queue to TCLab Arduino. I use this method to simulate a factory large time delay system, then I optimize Gekko parameters to achieve better control effect. When I add a delay in the model, I got a oscillative curve:

I adjust the DCOST and DMAX, then I got a better curve. But this is not an ideal curve.

I think the ideal curve is like this curve.

Here is the code.

GEKKO is optimization software for mixed-integer and differential algebraic equations. It is coupled with large-scale solvers for linear, quadratic, nonlinear, and mixed integer programming (LP, QP, NLP, MILP, MINLP). I use gekko to control my TCLab Arduino, but when I give a disturbance, no matter how I adjust the parameters, there will be a overshoot temperature. How can I solve this problem?

Here is my code:

Aiming to get alerts, only possible in Studies, I've created a Study from a Strategy where I purposely don't use pyramiding. Alerts are set to execute Once Per Bar Close.

Because Studies don't have pyramiding options, I've programmed in the Study a similar functionality to avoid pyramiding as follows:

1. Initialize boolean variables Last_is_long and Last_is_short to store whether the last move was a long or a short
2. Check the boolean as part of the complete longCondition and as part of the complete shortCondition
3. I make an alertcondition() based on such complete conditions, which include the booleans, thus

Something like: