Mechatronics - Science topic

I’ve recently published a short research paper titled:

" A Numerical Simulation of Spherical Tank Drainage Using the Modified Euler Method: A Physics-Based Approach "

It presents a simplified yet insightful Modified Euler’s method for solving differential equations and an physical applications on it.

Feel free to check it out, and if you find it useful, I’d really appreciate your recommendation on ResearchGate.

[https://www.researchgate.net/publication/390947672_A_Numerical_Simulation_of_Spherical_Tank_Drainage_Using_the_Modified_Euler_Method_A_Physics-Based_Approach ]

POWER_FACTOR_MEASUREMENT_AND_IMPROVEMENT

You will get a better idea by surveying several war zones and situations faced by common people, defense personnel, and others. Still, here are three ideas for you.

Further, you can do some QNA with chatGPT with proper prompting after specifying a specific tone and role to the chatbot. It will help you get what you want in a more specific way.

I will be glad if this helps you.

My roughly two years of experience is that anything that current GAI (not AGI) mechanisms can produce does not go beyond what is typical for popular science or professional textbook level, and their insightfulness, scholarly novelty, prognostication power, and academic significance cannot be matched with the trend-setting knowledge of domain experts. Thus, they may be informative for the general public but do not contribute new knowledge to that possessed by front-line scientists. This comes from the underpinning data processing mechanisms. Due to the retrospective nature, the support of scholarly projection, prediction, envisioning, inception, and so forth, is largely restricted and delimited. The question intended to explore what distinguished scientists can share about the specific outcomes of recent deep-going analytic and comparative studies, as opposed to interlinked contents of Internet repositories. What are the very recently discovered and yet unpublished ontological, disciplinary, technological, and praxiological differences and similarities?

Thanks for the opportunity!

interested

Sara_zaremanesh@pgs.usb.ac.ir

Synergetic Control:

Synergetic control, often involving the theory of synergetics which is related to self-organization and pattern formation in complex systems, can be applied in both model-free and model-based contexts. However, its implementation tends to be more aligned with a model-based approach. This is because synergetic control often requires a good understanding of the system dynamics to design the control laws that guide the system towards a desired self-organized pattern or behavior. It leverages mathematical models to predict and orchestrate the dynamics of the system components cooperatively, aiming for an optimal performance through self-organization principles.

PID Control:

PID (Proportional-Integral-Derivative) control, on the other hand, is primarily a model-free control strategy. It does not require a model of the process to be controlled; instead, it relies on adjusting the control inputs based on the error between the desired setpoint and the actual output. The PID controller adjusts its output using three terms – proportional, integral, and derivative – which are tuned based on the error over time. This approach makes PID control widely applicable in various situations where a detailed model of the system is not available or is difficult to develop.

In summary:

- Synergetic control is typically more model-based, requiring knowledge of the system’s dynamics to effectively drive the system towards a desired behavior using principles of self-organization.

- PID control is model-free, relying solely on feedback from the system to adjust its outputs, making it versatile and straightforward to implement in many different applications without detailed knowledge of the underlying system dynamics.

yes am interested

@

Great

The specific safety standards are explained related to cobots, the hazards that are common or overlooked with cobots and how to ensure safe cobot operations in your facility...

Read or listen podcast.

Thanks for all the answers. They confirmed my understanding of the relationship between software testing and testing of mechatronic system

There are several drawbacks to using harmonic potential functions for obstacle avoidance:

Overall, while harmonic potential functions are a popular approach to obstacle avoidance, they have some limitations that should be considered when choosing an algorithm for a particular application.

We don't have any sensor development lab right now.

Dear s.Milad:

You can benefit from this valuable article about your topic:

"Fuzzy Fractional-Order PID Controller for Fractional Model of Pneumatic Pressure System".

Abstract:

This article presents a fuzzy fractional-order PID (FFOPID) controller scheme for a pneumatic pressure regulating system. The industrial pneumatic pressure systems are having strong dynamic and nonlinearity characteristics; further, these systems come across frequent load variations and external disturbances. Hence, for the smooth and trouble-free operation of the industrial pressure system, an effective control mechanism could be adopted. The objective of this work is to design an intelligent fuzzy-based fractional-order PID control scheme to ensure a robust performance with respect to load variation and external disturbances. A novel model of a pilot pressure regulating system is developed to validate the effectiveness of the proposed control scheme. Simulation studies are carried out in a delayed nonlinear pressure regulating system under different operating conditions using fractional-order PID (FOPID) controller with fuzzy online gain tuning mechanism. The results demonstrate the usefulness of the proposed strategy and confirm the performance improvement for the pneumatic pressure system. To highlight the advantages of the proposed scheme a comparative study with conventional PID and FOPID control schemes is made.

@https://www.hindawi.com/journals/mpe/2018/5478781/

I hope it will be helpful...

Best wishes....

According to Web of Science, ESCI Journal can be included in Science Citation Index (SCI), Social Science Citation Index (SSCI), or Arts and Humanities Citation Index (AHCI), if they meet "Impact Criteria".

Accordingly, journals are included in Web of Science Core Collection (SCI, SSCI, AHCI, and ESCI) if they meet 2 criteria, namely; 1) Quality 2) Impact. The "Quality criteria" comprises 24 sub-criterion, while the "Impact criterion" consist of 4 sub-criteria.

Hence, any journal captured in ESCI have already meet the quality criteria , therefore the quality criteria is the only requirement for journal to be considered in ESCI. Similarly, any journal on ESCI must wait to meet the "Impact Criteria", which can take time, and may be impossible to be predicted. This is because the Impact Criteria is evaluated according to the number of citations the journal is receiving, the performance of authors who published in the journal before, and the number of cross-references between journals in web of science, etc. Waheed Ur Rehman .

I'm afraid that there is some misunderstanding. There are two methodologies in Six Sigma: DFSS (Design for Six Sigma) for R&D projects (i.e. for new products/processes/technologies) and DMAIC (Define/Measure/Analyze/Improve/Control) for Engineering/Manufacturing/QC/Maintenance projects (i.e. for existing products/processes/technologies improvement).

You reference plane will be critical to measure the depth of the cavity. If you use the occlusal surface as the reference plane, the cusps of the teeth are not in a straight line - so adding a projection that can be used to rest on the occlusal surface on the teeth could help you identify the exact depth with the sensor.

Dear José Luis Ordóñez Ávila,

Also you can check those links and attached file on topic

Best regards

Engineering with computers IF=7.9

Soft computing IF=3.6

It varies from 0.2 to 0.6.

very interesting

Create and Share Toolboxes:

Hello All,

I am searching for topics for master's thesis in the areas of ADAS, IoT.

Could someone please suggest my cutting-edge topics?

in case of any queries please mail me on qutibahhussein862@gmail.com

Thank you in advance

Best Regards,

Qutibah Hussein

Nikhil Patel I did a search for this problem and found that you are not alone. Several people have had problems getting outputs from the LSM module for various reasons. In your case it looks like the problem is in the connections to the WeMos d1 mini. according to the WeMos page at https://docs.wemos.cc/en/latest/d1/d1_mini.html, the SCL pin should be D1 and the SCL pin should be D2. Since you are connected at D2 and D3 the values you are reading are static floating values. Adjust your wiring and it should work.

Some suggestions on your code:

1. Reduce your baud rate to 9600 to start. Once you have good values being read you can increase it to your desired value.

2. You can remove the #include "SPI.h" since you are using I2C rather than SPI.

3. You might also add Wire.begin() to initialize the I2C communications.

Thank you for your question, it gave me a reason to research ESP-8266 boards in more detail. I hope this helps.

@Alaa Ali your most welcome .

First basic step is to define "strong wind" speed, and then compare that with the quadcopter's maximum speed. No Return To Home (RTH) feature can be effective as long as wind speed > quadcopter maximum speed so "speed" has to be first defense. Once quadcopter max speed is exceeded, it is just be a matter of time before the quadcopter is out of ground control range; options then are to land, and wait for input, (maybe not a great option in heavily wooded areas, or over water), or switch to an autonomous mode which will attempt return to base GPS location as long as power allows.

Next consideration would be turbulent response; in strong winds, particularly in urban areas, where wind gusting around buildings will make control response times critical.

Note also that GPS-enabled RTH features will struggle with tall obstacles, be they trees or high rise buildings, that block the (most direct) return path.

Dear Ahmed,

A load cell is a type of transducer, specifically a force transducer. It converts a force such as tension, compression, pressure, or torque into an electrical signal that can be measured and standardized. As the force applied to the load cell increases, the electrical signal changes proportionally. The most common types of load cell used are hydraulic, pneumatic, and strain gauge. Every load cell is subject to "ringing" when subjected to abrupt load changes. This stems from the spring-like behavior of load cells. In order to measure the loads, they have to deform. As such, a load cell of finite stiffness must have spring-like behavior, exhibiting vibrations at its natural frequency. An oscillating data pattern can be the result of ringing. Ringing can be suppressed in a limited fashion by passive means. Alternatively, a control system can use an actuator to actively damp out the ringing of a load cell. This method offers better performance at a cost of significant increase in complexity.

***Dynamic load cell is ideal for measuring force transients or dynamic force pulsations in impact or vibration applications. This load cell contains a thin piezoelectric crystal that generates an analog voltage signal in response to an applied dynamic force.

Proposed frequency range which is quite common may be classified for the dynamic loads are given below.

Resonant Frequency (@ No Load): 75 kHz High Frequency Range: 25 kHz (approx. 1/3 of resonant frequency, no load) Low Frequency Range (-3 dB): 0.08 Hz

Ashish

Nothing in my view, It is very hard to interpret the new situation as a disruption. Seems better if we consider it as a transformation. Unlike many, I believe it does not necessarily lead to disruption. Some vocations may be diminishing, while others come into existence.

Your thesis must be focused on robots related with medecins as well as drones supplied by solar energy

I`M ALSO INTERESTED IN THIS

Dear Hemant

you can see my technical report called:

DC Motor drive and control using RS232 PC COM port with MATLAB.

good luck

Respected Behnam Farid &Aimen Zeiny .

Actually i am using 3W (365nm) uv light and distance bewteen the source and detector is 15 cm.How i calculate the intensity (w/cm2).

I will be grateful to you for your kind answer

You can perform Value Stream Mapping to determine all of that. Use the factors of a given situation in your country, cost of fuel, maintenance on equipment, insurance, collection costs, waste processing costs, labor, tipping fees, etc.

Why are we writing your thesis for you? Figure it out.

Hi Mouaz,

sorry, I don't understand this parameter isd<0 ??

you can share more info. about ?

my direct Email is arie.gez@kodak.com

thanks

Arie

There is a very good book, published in 2018, and named "Hello World: How to be Human in the Age of the Machine", It might help.

hello sir,

can you post some of the mathematical dynamic equation that u implemented in this model especially for dq current estimation and svpwm?

Assuming you mean "position" : there are currently no devices that claim to establish position of a vehicle at the nanometer, and no use case where this would be useful in the automotive or avionics domain.

Thanks a lot Mr. Denis Butusov for the awesome suggestion.

Dear Mr. Abdullah!

I simulated the IM model with your parameters by means of the same equations as you refered. I've got the different results (by the way, you have to point the rated stator voltage and acceleration time). Do you have full datasheet on your motor? Maybe, it needs not only rated parameters but also start parameters of the equivalent circuit. The data specs may differ from the real ones due to a number of reasons (for one, windings temperature, skin effect, saturation, etc.). Try to compare simulated and real parameters of the motor (at least, you can easily measure the stator winding resistance) and figure out if there is match or difference.

In continuity, a recent reference of interest:

to hack it u have to learn reverse engineering dear.

Valuable submission by Dr. Amjad Albayati and Dr. Victor Nazimko.

An emerging variant of this field is biomechatronics, whose purpose is to integrate mechanical parts with a human being, usually in the form of removable gadgets such as an exoskeleton. This is the "real-life" version of cyberware.

Another variant that we can consider is Motion control for Advanced Mechatronics, which presently is recognized as a key technology in mechatronics. The robustness of motion control will be represented as a function of stiffness and a basis for practical realization. Target of motion is parameterized by control stiffness which could be variable according to the task reference. However, the system robustness of motion always requires very high stiffness in the controller.

If you want non-contact sensor, then proximity displacement sensor such as Bentley Nevada proximity sensors and Omega non-contact sensors can be used, they are cheaper than Laser sensors and have excellent accuracy:

If contact is permissible then you have wider options and LVDT sensors can be used, they have good accuracy and cheaper pices:

or search google or alibaba for LVDT sensor

check this links

check this link maybe help you

check this link maybe help you

Checkthis links maybe help you

Nonlinear system modeling has attracted great attention in engineering sciences as well in many other fields such as meteorology, economics, biology, etc. This is simply due to two main reasons. First, the presence of nonlinear phenomena in most physical systems is rather the rule than the exception. Second, nonlinear system analysis and control can only be achieved if the mathematical model of the system is known . This model can be constructed using the physical modeling approach which leads to the white box models. This approach consists in decomposing the considered system in different parts (electrical part, mechanical part, heat conduction part, etc.) and then applying the appropriate first principles that govern each part. This approach can clearly be very complex since it requires detailed specialist knowledge in many different domains of science. In addition, the first principle models are often non linear and non stationary and consequently the obtained models are too complex for most practical purposes. System identification represents an interesting solution of constructing models, known as black box models, since it allows to overcome most of these problems. Furthermore, it can be applied to all physical systems. This approach consists in constructing mathematical models from observed input and output data based on five main steps : data collection, model class selection, model structure estimation , model. parameter estimation and model validation. The model class selection represents the corner stone toward the objective of nonlinear system identification because the model accuracy depends on the used model class. Numerous classes have been proposed in the literature for nonlinear black-box models such as Volterra models, NARMAX (Nonlinear AutoRegressive Moving Average model with eXogenous inputs models), nonlinear state space, block-oriented models structures, etc. All of these models are able to approximate any nonlinear system with arbitrary accuracy. The choice of the best class depends on the model purposes : emulation, prediction, simulation, controller design, fault detection, etc. For control purpose for example, a mathematical model must ensure a compromise between accuracy, model extraction cost and parametric simplicity of model in order to ensure the implementation of the controller.

Dear Mr. Basheer

Pls review the following link for your need

Hello

ROS is built to do this particular kind of integrations. Yes, it is possible to integrate unlimited number of sensors with ROS. All what you need is a node that reads this new sensor and publishes on a specific topic.

Cheers

Salah Eddine Ghamri

You can find a fully developed 14-DOF vehicle model in MATLAB with a time efficient suspension model and a reprogrammed full set MF tire model in https://arxiv.org/abs/1803.09411, in addition, this work formulated and solved the complicated optimal design and control problems of a 4-IWD electric race car on a given track in curvilinear coordinate system.

Hi Deyire, Depending how robust and accurate the robotic control system you want to be. In terms of robust and accurate, I have done my previous research on the nano-positioning robust might be useful for you. https://www.researchgate.net/search.Search.html?type=researcher&query=Robust%20H%E2%88%9E%20control%20in%20nano-positioning. Good luck - Ning

You can use the gyroscope only to measure the current state of each joint, but i not understand what you referred exactly.

There are some methods for controlling stability when the robot walks as a Zero Moment Point (ZMP), and you can use the Gyroscope + Accelerometer to measure the deflection angle and correct it using the inverse kinematic approach.

 

The Luenberger observer is useful to estimate the non-measurable state variables of a dynamic system. The controller is normally a LQR (linear quadratic regulator). In order to use it the system has to be observable. A  DC DC boost converter is a kind of hybrid system (switched system, switching control) that need a special type of control. Therefore, hybrid observability and hybrid control are important key words. Please have a look at the following references:

1) Bemporad A., Ferrari-Trecate G., Morari M.: Observability and controllability of piecewise affine and hybrid systems. IEEE Trans A.C. 45, 1864–1876 (2000)

2) Geyer T. Papafotiou G., Morari M.: Hybrid model predictive control of the step-down DC–DC converter. IEEE Trans. Control Syst. Technol. 16(6), 1112–1124 (2008)

3) Iannelli L., Johansson K.H., Jönsson U.T., Vasca F.: Subtleties in the averaging of a class of hybrid systems with applications to power converters. Control Eng. Pract. 16, 961–975 (2008).

4) Kamri, D., Larbes, C., Observer-Based Control for DC–DC Converters. Practical Switching Control. Arabian Journal for Science and Engineering, Vol 39, No 5, pp 4089–4102, May 2014.

Dear Jawad,

I suggest you to see usefull papers and links in topics.

-Predictive Control of Power Electronics Converters in ... - MDPI

-Advanced Control for Wind Turbine Grid Connection Requirements

windenergy.conferenceseries.com/.../nicolo-gionfra-laboratoire-des.. 

Best regards

The only inputs are the rotor speeds. Most control laws control combinations of these commanded rotor speeds. The outputs are whatever can be measured--if you are using a standard AHRS (attitude and heading reference system), it consists of IMU (inertial measurement unit measuring 3 accelerations and 3 angular velocities), GPS (three coordinates of position), magnetometer (three components of geomagnetic field), and altimeter (height above the earth's surface). Most papers, such as the ones posted above, have these. You can also have optical sensors for optic flow that give motion relative to the background, or stereo vision, or lidar/radar that give positions of objects relative to the drone.

I think that adaptive control based on Lyapunov has a different control objective than passive based control. The indirect adaptive control first estimates online the parameters of the system and uses them to update the control parameters and the direct adaptive control use the input-output measurements of the plant to update the control parameters (see the book of S. Sastry, Adaptive Control, Prentice Hall, 1989), both adaptive control techniques use Lyapunov to assure close loop stability and not necessarily assuring passivity. Passive based control assures that the initial stored energy will be less than the absorbed energy for all time, and not necessarily has an adaptive control.   

I think these will help you.

Thanks you very much Mr. Chak, I was looking for this paper for a very long time

Interesting. I have 't suggestion. Few years before I worked very strong about robots for disabled (paralysed) people. Your work is interesting . Good luck

Hi Mr. Razdan,

I recommend reading the books titled, "PID Control" by Johnson & Moradi, and "Autotuning of PID Controllers" by Cheng-Ching Yu. You also encouraged to learn about Åström & Hägglund autotuner because the identification and tuning mechanism are simple to understand. Please cover the basics of tuning PID loops before going after the advanced methods.

thank you, Dr. Ghaleh

Hello Jay,

It's better to refer to the datasheet of the specific gyro that you are using. It must have been specified by the manufacturer. It varies from device to device (the sensors).

Alternately, first evaluate what is the signal range of (estimated) your mechanical system and then choose a gyro to accommodate this range.

I hope this will be helpful to you.

Thanks and best wishes!

-Prasanna Waichal

Hi,

You can use Maple software for estimating the Jacobian matrix analytically and then subscript the parameters and linearize the equations.

Dear Mustafa,

SMC guarantees robustness and PBC also guarantees robust stability. There are results where the SMC is designed such that close loop passivity properties are satisfied, in this sense the SMC is also a PBC. See for example the work of T. Kim. S. Park and H. Ahn Robust Passivity Based Control with Sliding Mode for DC-to-DC Converters, Int. Conf. SICE-ICASE, 2006.   

Sounds very challenging if you want to use only images from a camera looking at the row of paddlers from the side.

You are measuring/estimating the twist angle for a reason. You should first ask yourself how accurately you need to know the torso twist angle in order to accomplish what you plan to do with the measurements.Presumably you do not need to be very accurate. +/- 5 degrees may suffice for instance? I have no idea. But the required accuracy goes a long way toward judging the methods and adequacy of measurement.

Suppose that you determine that the required accuracy to be +/- X degrees. Then consider if it is possible for a person, visually inspecting the camera image, to estimate the torso rotation with roughly the same accuracy. If so, then the features that people use visually are candidate features for automatic estimation.If not, then you need to come up with better-than-human-visual estimation methods, based on better quantitative assessment of the visual-based features, and/or based on entirely different features derived from characters in the scene, which people are not using (by training a neural network for instance).  

In any case, knowing the require accuracy for some purposeful objective is the first step to finding an estimation  method.

Ronald

.

Dear Danilo,

I suggest to you links and attached files in topics.

- Back to Basics: How to Increase Pump Motor Efficiency - WaterWorld

www.waterworld.com › ... › More Articles › Energy Management

- A Basic Guide to Understanding Pool Pump Motors - PoolSupplyWorld ...

www.poolsupplyworld.com › Home › Resources › Pool Pumps

- Water pump protection switches & controls: prevent pump damage or ...

- The Highs and Lows of Motor Voltage - (EC&M) Magazine

ecmweb.com › Design

- Matching Power to Pump Requirements - Sta-Rite

www.sta-rite.com › STA-RITE Resource Center › TechInfo Pages

- Solar Water Pumping System | Schneider Electric

www.schneider-electric.com/.../62208-solar-water-pumping-syste...

best regards

dear Haziq,

it's depend, for which target you design your car. usually for fast car the boxter is preferred but for the V engine is used for the strong traction like truck     

Thanks, I made a mistake in the question. it was suppose to be classification of robot gripper tasks