Plant Modeling - Science topic

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A set of differential equations are provided which represents the non linear system.How can we convert it into a plant model to develop a controller? There are five state variables.I've shown only two equations in the sample image

After calculating the support function of a set that is the Minkowski sum of a finite sequence of linear maps of C sets, I only obtain some vertexs ( I don't know exactly what they means but they looks like vertexs according to the results of MPT toolbox). But I don't figure out what to do next to obtain mRPI or tighten constraints.

How to train ANFIS using a wide range of input/output data that comes from the conventional controller like PID?

And how to extract the data (the error and change of error) from pid controller and use them as input to the ANFIS controller?

PID controller can take one input at a time (like step input or ramp) and gives you output. I want to try different methods to give a range of inputs to the PID controller as a reference (like array input). so that the ANFIS would work well for the input, and can be trained like in step input (not for all step input of all values, just one input of value 1), for the step of different value like step input = 2, For the time being, I am learning how to use anfis for simple plant model that is (0.021/(0.000347s^2 +s)). For future use, I will use anfis as fuzzy controller to control the trajectory of the welding robot.

for instance, We have the position equation of the welding torch below with 100 data samples .

This equation indicates the position of the welding torch in x-direction

x=0.177 ΔL1-0.29 ΔL2+0.177 ΔL3+12.23

Dear all, i am working on matlab simulation and i need biomass plant model into it so rather than i using direct programmable source can i used this by other ways?

I am working on controlling a 7 degree of freedom bicycle model using an adaptive model predictive control block. There is an input port named "model". I watched some youtube videos where they connect an updated version of the plant model to it. They connect the model output to some function that updates it. However, none of them explained how this function exactly works. I need to know how I can update my model to connect it to the block. If there is any literature that could help me understand the adaptive MPC block better, please share it with me.

Currently, I am evaluating if I could use Modelica to build a solar power plant model. But I am facing an initialization issue. Cause the Modelica model requires good start values to ensure convergence, now I am using Dymola and ThermoSysPro( An Open-source library from EDF ), but there could be a divergence problem without good enough start values.

So I’d like to ask if you got any solutions for this kind of problem, especially how to deal with this initialization process and ensure convergence.

I simulate 3d seawater in the case of dispersion thermal analysis of the power plant cooling water using ansys fluent, the geometry and namely boundary conditions that I modelled is shown in the figure bellow. In modelling physical models used k-epsilon and active energy. the material used is only one phase, namely water. Temperatur normal seawater set 30℃ and temperatur discharge outlet 37℃.The boundary conditions are discharged outlets, ambient inlet, outlet, ocean, seabed and seashore. The discharge outlet is the discharge area of the cooling water power plant modelled as an inlet velocity with a velocity of 1.71 m / s and a temperature value of 37℃, the ambient inlet boundary condition is modelled as an inlet velocity at 0.4 m / s and a temperature value of 30℃.Outlet modelled as outflow.Seabed and seashore as a wall.

For ocean boundary conditions I model as symmetry. what I want to ask, in my case is it okay if I model ocean as symmetry? Can anyone explain that? Or do I need to use other boundary conditions?

Hi,

I've found three journals concerning cell surface and plant modelling "in silico":

The Cell Surface

In Silico Biology

In Silico Plants

Unfortunatedly, all of them are Open Access Journals that means that I should pay for the publication. But I want to publish freely.

Do anybody know similar journals without author's fee?

I have created a Simulink model of PID controlled Bouc Wen MR damper semi active suspension. The feedback signal to PID is taken as sprung mass displacement and reference value is set to '0' (zero). The output of PID control is to be voltage signal for MR damper.

While trying to auto tune the PID controller, I am getting the error:

Linearization aborted because the linear plant model seen by the PID block is effectively '0'.

Ensure the PID loop is physically closed and none of the block in the PID loop returns '0' when linearized at time t = 0.

I have used saturation block after PID with upper limit 5 and lower 0. (as MR damper max input voltage is 5 volts and min is 0).

Error image is attached.

the reason behind the family chosen, and how it relates as model species.

While creating a h infinity controller in matlab if there are mutiple disturbances entering the model and we want to account for that I understand we have to add uncertainity in to the model. How to do that?

I would like to read this paper and cannot get access to it.

I need to do a study of voltage drops of a company which has a plant model in the ETAP program, however, my country's national system has a unique model in Digsilent. ¿There is a way of link the two models?.

The mature architecture of many plant species show a "candalebra pattern" in which the number of phytomers on a branch is related to the number of phytomers on the main stem and  the position of the branch on that stem.

Representing how this pattern is produced - and the conditions for its stability - is important in plant modelling. For crop plants, this shape has been discussed long time ago in the papers cited below, but they differ in their interpretation.

I would be very interested if somebody  knows of more recent interpretetations or experimental data  on this topic and specially in cereals.

Bruno

réferences

Hay, R.K., & Kirby, E.J.M. (1991). Convergence and synchrony - A review of the coordination of development in wheat. Australian Journal of Agricultural Research, 42, 661-700

Sachs, T. (1999). "Node counting": an internal control of balanced vegetative and reproductive development. Plant, Cell and Environment, 22, 757-766

Wondering if anyone has experimented with a nonlinear plant model under L1 adaptive control in Simulink. The examples provided online are linear state space models of the plant which while helpful in gaining insight to begin with, is slightly too convenient in implementing L1AC. I'm finding it difficult to implement L1AC of a nonlinear PWM actuated power converter using the simpowersystems toolbox, possibly due to; solver issues, issues with getting the system to start relatively in the right place (due to PWM and adaptation possibly not working well together) etc. Has anyone experimented with L1AC of such a system (PWM, nonlinear model) before in Simulink?

Thanks  

Can you kindly help me identify how can I get the state space matrix representation for a linearized wind turbine model resulting into A,B,C and D matrices for different operating points (i,e different wind speeds) ?

I want to use these state space matrices for pitch control of a wind turbine system. Also for simplicity I am looking for a no bigger then a 3rd order model or 3 DOF mode.

(Note: Every point will be generating its own set of A,B,C and D matrices)

Thank you & Obliged,

Ibrahim

Is it ok to model the plant in its two seperate operating modes, as follows?

Pumping mode:

The plant operation will be modelled with the use of an induction motor.

Generating mode:

In this mode the plant will be modelled as a hydro power plant.

I am working on toycar steering control using PID controller.I am developing Firmware on mbed platform using c++. I am using Gyroscope as sensor for my feedback for angle reading.

Please give me suggestions for How can I model my steering control or How can it be realized without using plant model?  I was thinking to take all this reading data and get my error value by taking difference with desired angle,but how to realize this readings in Matlab or any other platform and use my PID. 

Is it possible to experimentally find the (discrete) state-space model of a plant that contains poles at +1 (integrators)? Surely it is necessary to add some kind of feedback to the plant before doing the measurement. What would be a good choice here, or what is the recommended algorithm to find the open-loop response from a (preliminary) closed-loop response?

To clarify, I have the full model of the (non-linear) plant available as a simulation and could disable the integrator. However, the integrator is not simply in series with the rest of the model and I'd like to solve the general problem.

I am looking for a process models that I can use to simulate carbon allocation in herbaceous species (I want to compare it against experimental data). Any advice or suggestions?

I would like to know how I can calculate the number of M₂ families which is required to have I high probability for the X-ray induced knockout of one particular gene.  There should be a scientific method to estimate the population size which for example considers the genome size. Is there anybody who is familiar with this topic, or who can provide/mention specific literature? Thanks a lot.

For example, a sunflower has a 5°C basis temperature used for thermal time computations. Is there any knowledge for root basis temperature that can be used to compute a "root thermal time" in soil?