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Rodrigo R.
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Optimize your automation processes with the definitive collection of prompts designed for modern control engineering. This technical library enables engineers and developers to automate the creation of mathematical models, the tuning of critical loops, and the generation of robust industrial code, raising the precision of their projects from the design phase to commissioning. Transform the complexity of control theory into tangible solutions through AI-accelerated workflows. From drafting security protocols to implementing digital twins, this professional resource ensures exceptional quality standards, reduction of technical errors, and seamless integration of dynamic systems in competitive industrial environments.
Acts as a Senior Control Engineer expert in Stochastic Simulation and Digital Twins. Your mission is to design and structure a framework for an advanced Monte Carlo Analysis, aimed at the virtual validation of control systems in highly complex industrial processes. The objective is to determine the robustness of the control system [System Name/Control Loop] to the inherent variability of physical components and changing operating conditions before proceeding to implementation on real hardware. Defines in detail the mathematical model of the plant or process under study: [Description of the Process, e.g. Distillation Column, High Precision Servomotor, Cooling System]. You must establish stochastic input variables that present uncertainty, such as [Variables with Uncertainty, e.g. Plant Gain, Time Constant, Measurement Noise]. For each variable, assign an appropriate probability distribution (Normal, Log-normal, Uniform or Triangular) by specifying its key statistical parameters as [Mean/Mode] and [Variance/Deviation]. Configure the Monte Carlo experiment run to perform [Number of Iterations, e.g. 5,000 or 10,000] independent simulations. The system must evaluate the behavior of the controller [Controller Type, e.g. PID with Anti-windup, Robust MPC] against each sampled scenario. It is imperative that the analysis capture and record fundamental dynamic performance metrics (KPIs), including Rise Time, Maximum Overshoot, Settling Time and Global Stability based on Lyapunov criteria or phase/gain margins. Generate an analysis of results that includes the construction of frequency histograms for each KPI and the calculation of confidence intervals at [Confidence Level, e.g. 95% or 99%]. Identifies the probability of failure, defined as the frequency with which the system exceeds the critical limits of [Safety/Operating Limits]. Finally, it provides a sensitivity synthesis indicating which plant parameters have the greatest impact on performance degradation, suggesting adjustments to controller tuning or changes to component specifications to mitigate operational risks. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
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He acts as a senior Control Engineer with specialization in Mathematical Modeling of Dynamic Systems. Your goal is to design, analyze, and simplify complex block diagrams for the system described as [Nombre_del_Sistema]. This system operates under the following environmental conditions: [Condiciones_Operativas] and its main goal is the regulation of [Variable_Principal_a_Controlar]. The analysis must be carried out with technical rigor of an advanced academic level, considering both the time and frequency domains (Laplace Transform). First, it comprehensively defines the system architecture by identifying each critical component. For the plant block G(s), use the transfer function [Funcion_Transferencia_Planta]. Identifies summation points, branch points, and feedback loops, specifying whether the feedback is unitary or has sensor dynamics H(s) defined by [Dinamica_Sensor]. Make sure to clearly distinguish between the input signals R(s), the disturbances D(s) and the controlled output Y(s). Second, proceed to the reduction of the block diagram using the rules of block algebra (series blocks, parallel blocks, elimination of feedback loops and displacement of addition/branch points). The final result should be the Closed Loop Transfer Function T(s) = Y(s)/R(s). You must explain step by step each simplification made, mathematically justifying why that path is chosen to arrive at the characteristic equation of the [Ecuacion_Caracteristica_Deseada] system. Finally, generate a visual representation of the diagram using Mermaid.js syntax or detailed technical description code to visualize the signal flow hierarchy. It includes a preliminary stability analysis based on the location of the poles obtained in the simplified function and suggests compensation strategies (such as PID or lead/lag controllers) if the system exhibits underdamped or unstable behavior under the [Parametros_Criticos] parameters. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
Acts as a Control and Automation Engineer expert in the design of functional safety architectures and distributed control systems (DCS). Your main mission is to develop the technical specification and logical structure of a detailed [Cause and Effect Matrix] for the [Project/Process Name] system. This document is fundamental for the detailed engineering stage and will serve as the absolute basis for programming the Logic Solver, whether it is a safety PLC or a process control system. The content should be organized so that each row represents a 'Cause' (input event) and each column represents an 'Effect' (output action). Be sure to include columns for the ISA-5.1 instrument tag, process condition description, activation setpoint, and associated voting logic, such as [2oo3 or 1oo2]. It is imperative that the language is technical, formal and precise, strictly aligned with international regulations [IEC 61511 and ISA-5.2]. To define the effects, it precisely details the actions required on the final control elements, such as [Isolation Valves, Motors, Fans or Extinguishing Systems]. You must specify the desired state upon activation (De-energize to Safe / Energize to Safe) and the expected behavior of the visual and auditory indicators on the operator console (HMI). It is vital that each effect is unambiguously linked to one or more causes using the corresponding Boolean logic. Includes a symbol definition section where letters are used to denote the type of interaction at the intersection: 'X' for immediate action, 'T' for timed actions (indicating the time in seconds), and 'L' for actions that require an interlock or Latch with manual reset. It also describes the global reset conditions and the requirements for 'Override' or signal bypass during the start-up or preventive maintenance phases, ensuring that the safety of personnel is not compromised. Finally, add a technical validation section explaining how the integrity of the matrix will be verified using FAT (Factory Acceptance Tests) and SAT (Site Acceptance Tests) testing protocols. Ensure that all proposed logic guarantees that the process is brought to a safe state in the event of any critical deviation of the operating variables of [Pressure, Temperature, Level or Flow], complying with the assigned safety integrity level of [SIL 1, 2 or 3]. If any key information needed to fill the bracketed fields is missing, ask me the necessary questions before answering.
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Based on 13 reviews
Very good material. Most of them worked on the first try. Came close to a five.
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Decent for the price. They work as a starting point. Works if you customize it.
Worth every penny. They work just as well in ChatGPT and Claude. Totally recommend them.
Best purchase I made this month. The quality of the answers I get improved a lot. Already recommended them to my team.
Good value for money. Most of them worked on the first try. I recommend it.
I didn't expect them to be this complete. They saved me hours of work in the first week. Totally recommend them.
Exactly what I was looking for. They're easy to adapt to my case by just changing the fields. I'll buy again without hesitation.
Exceeded my expectations. The prompts are really well thought out and the effort shows. Already recommended them to my team.
Happy with the purchase. The organization helps you get oriented fast. Came close to a five.
Exactly what I was looking for. They work just as well in ChatGPT and Claude. An investment that pays for itself.
Decent for the price. Some prompts are great and others more generic. Could be better but useful.
Delivers what it promises. They adapt well with a few tweaks. I'd buy again.