John Masse

appedge

At last! the very best in Advanced Control, compatible with all PLC platforms effortlessly and without math ! Benefits of using “Relaxc Solution” controller into your industrial automation *Improved asset sustainability *Less process waste (Optimal response, robustness) *Lower energy costs (Relaxc is a green controller) *Significantly reduced com...

RelaxC controller and PID for time delay systems: Experimental test results on Boiler pilot plant : Sanjay R. Patil, Sudhir Agashe

Next generation of process control Relaxc used as dynamic optimization module applied to the Lotka Volterra fishing problem

Relaxc Overview: New look at your PID

Relaxc controller for drastically-improving TCP/Active Queue Management (AQM) networks

Relaxc it is also a methodology that releases the design of your PID without to make a tedious modelling or trial&error. • The tool RelaxcToPID converts the Relaxc Parameters towards PID coefficients.

Tests case of Relaxc by Sanjay Ravindra Patil Savitribai Phule Pune University,

With its ad hoc algorithmic structure, RelaxC frees itself from hard mathematical difficulties as well as from a tedious and imprecise process modeling to guarantee robust control with an easy adjustment; i.e., without any calculation beforehand. https://www.automation.com/en-US/Assets/White-Papers/White-Paper-RelaxC-Controller-process-control

With #Ecalibration the Calibration time is almost instantly. You can reduce 1 year of study to few days for calibrating your 3D, 2D or 1D modelling.

Free relaxc tuner and PID.

#Relaxc tuning

Relaxc vs LQR+PID+FF on inverted pendulum issue Or How to tune an inverted pendulum with only one parameter !!!

This paper explores new simplified tuning of Relaxc to help Relaxc users to find a quick tuning from step-response experiment. This tuning, that depends explicitly on the process physical parameters, establishes a good starting point to control effortlessly and without overshoot complex processes including non-minimal phase, small and large pure de...

Relaxc vs MPC, PID, .... Simulation comparison

https://www.youtube.com/watch?v=2fbOQF8H7ZI

Relaxc What can we do with a Stochastic Gradient Descent on Time Varying Parameters plus Delay ? Relaxc and Kalman Radar apllication Relaxc as derivative operator Virtual measurment, .... Triple integrator

Relaxc Overiew Aim for EXCELLENCE in your processes with a Smart Process Control With only one algorithm block: Maximize operational productivity, simplify maintenance, and optimize energy consumption.

Relaxc2v trial version under STRATON (Windows 10 and Raspberry) 1) Download trial version of straton 2) Ask the key for the zip 3) Plug Relaxc on your Raspberry or your windows and control

Commissioning Relaxc for Straton-PLC

Rcalibration Useful Block Function to calibrate Relaxc

Relaxc2v trial version under Simulink

Relaxc2v under Ecosim. Example of connection

Relaxc Reference list

trial version

V3.1 ( Re,Ru,Vmin,Vmax)

Version 2.1 Ru,Re, Vmax,Vmin

Toward Smart SGD to Deep / Machine Learning Plug and Optimize! RealxC, RelaxM, RelaxE

Achieve optimal convergence performance whatever the complexity of your Data/functions: No more tedious learning rates. Significantly reduce the commissioning time and the CPU Load of your AI Projects. Increase the reliability and effectiveness of training deep neural networks. Wrap your AI projects in the Fourth dimension with RelaxC. trial versi...

A novel algebraic controller to control a differential algebraic modelling

Relaxc under Simulink

With No stress parameter for the actuator There is a new version

slides V2 relaxc

Slides Relaxc

Detailled Studies of the real work impel us, albeit reluctantly, to take account of the fact that the rate of change of physical systems depends not only on their present state, but also on the past history " (Bellman-Cooke 1963)

Commissioning Relaxc for Modicon Controllers (Schneider Electric)

Achieve optimal control performance whatever the complexity of your processes and without complex mathematic analysis

Success Story

Relaxc • Change of paradigm: In contrast with the other approaches, Relaxc is an implicit algebraic controller. The control U is evaluated by numerical convergence. This is why U does not depend of the mathematical structure of the process, so that we can apply it for tuning (almost) all the kind of processes, without modification or complex parame...

77 years later and an impressive literature about the control theory, the controller Relaxc seems to bring an efficient way to control any process without effort. The methodology of Relaxc is close to the methodology of Ziegler and Nichols to identify some process characteristics. May be, they were right, but to apply it at a PID (mathematical stru...

After our experience with Ecalibration to design combustion engine, we can point out numerous benefits. One of most important aspects when working with our models is related to the time saving. With Ecalibration, the number of executions to calibrate our complete engine simulations decrease drastically, going from 15 to 3 (or even less). In this wa...

Enhanced Calibration for parameters is a useful tool when the simulation is too time consuming to perform calibration by numerical optimization. It reinforces the human intelligence in the expertise, knowledge and explanation of the role and influence or cumulate influence of parameters on simulation outputs. It gives us instantly the Ecalibration...

First all, we recall briefly the original concept of the new controller RelaxC (Family of Ultimate controllers).We compare RelaxC to other methods as Predictive Functional Control(PFC), Model predictive control (MPC), Model Free-Control (MFC), ADRC (Active disturbance rejection control) based on the linear ESO observer. We comment also two methods...

this article is a essay with mistakes, converting relaxc to PID is not possible. I recomand relaxc the origin and relaxc vs other controlers

We investigate another point of view to perform a new controller named Relax controller (RelaxC). It allows to control nearly all kinds of problems: pure integrator, constraints on the control and state of the system, non minimal phase, small and large dead-time, SISO or MIMO systems and unstable processes. All this, without knowing exactly the str...

We investigate another point of view to perform a new controller name Relax controller (RelaxC ). RelaxC allows to treat nearly all kinds of problems: pure integrator, constraints on the control and state of the system, non minimal phase, small and large dead-time, SISO or MIMO systems and unstable processes.

We investigate another point of view to perform a new controller named Relax controller (RelaxC).RelaxC allows to treat nearly all kinds of problems: pure inte-grator, constraints on the control and state of the system, non minimal phase, small and large dead-time, SISO or MIMO systems and unstable processes. All this, without knowing exactly the s...

We investigate the automatic differentiation of hybrid models, viz. models that may contain delays, logical tests and discontinuities or loops. We consider differentiation with respect to parameters, initial conditions or the time. We emphasize the case of a small number of derivations and iterated differentiations are mostly treated with a foccus...

Statistique caractérisation. Organisation du savoir pour la progression de la connaissance sur la modélisation mathematique des procédés.

CNES Launchers Directorate (DLA) has to maintain a high level of expertise to achieve its missions regarding the exploitation of the Ariane 5 family launchers and to prepare the future of launchers. For this purpose, developing and using numerical simulation tools is of key importance. CARMEN software is CNES reference tool for simulating propulsio...

New techniques of "model-free control'' are applied to throttles, which are valves that directly regulate the amount of air entering the engines. Our numerical simulations may be favorably compared to a flatness-based linear predictive control, where a precise mathematical model is needed. Some details of the implementation are provided.

This paper deals with parameter selection and estimation of large and complex simulation models. This estimation problem is addressed in the case of passive observation, i.e. when no controlled experiment is possible. Given the lack of information in the data, an appropriate methodology is proposed to select and estimate some physical parameters of...

On applique de nouvelles techniques de << commande sans modèle >> aux papillons, qui sont des dispositifs d'alimentation de moteurs. Les simulations numériques se comparent favorablement à une commande prédictive linéaire, basée sur la platitude, nécessitant la connaissance d'un modèle précis. Rajout du 15 novembre 2007.- Une version plus complète...

This communication deals with model calibration, i.e. the parameter estimation of large and complex simulation models, from imposed experimental data. A calibra-tion methodology including practical identifiability, parameter selection and parameter estimation is proposed. The estimation of the sensitivity functions of the model outputs is performed...

CARINS is a new versatile and flexible tool for simulation of liquid propellant rocket engine systems transients. This kind of numerical simulation can reduce drastically design development costs and checking capacities. The goal of the project is to give to engineers and research teams a new powerful tool for reproducing time evolution of physical...

Diffedge is a new methodology that eliminates the drawbacks of finite-difference approximations and the complexity to use the automatic differentiation. It combines the powerful of computer algebra system and block diagram structures for computing the derivative of a Simulink model with respect to the independent parameters. Diffedge calculates the...

Basile is a CACSD software of the Matlab family, covering the field of automatic control, signal processing and optimization, allowing calculus with polynomial and rational matrices. For real-life, industrial processes, the size and complexity of underlying mathematical models necessitates intensive use of computer algebra. This paper presents two...

Diffedge tool is a new methodology that eliminates the drawbacks of finite-difference approximations and the complexity to use the automatic differentiation. It combines the powerful of computer algebra system and block diagram structures for computing the derivative of a Simulink model with respect to the independent parameters. Diffedge calculate...