EnvLogger Viewer vs PID Controller Simulation

This application is used to communicate with EnvLoggers via NFC (near field communication). Users can configure missions, plot mission data and save them as CSV files to the iPhone's memory. They can also instantaneously share data. Data are saved as CSV files, which are human-readable and easily imported into R, MatLab, Excel or similar. EnvLoggers are contactless miniaturized temperature loggers. Their main features are: 1. They are sturdy, waterproof, and resistant to UV. Can withstand depths exceeding 500 meters. 2. Their battery life spans over 2 years (sampling at every hour). 3. The memory stores between 10k readings @ 0.1 ºC resolution or 12k readings @ 0.5 ºC resolution. Typically, 14k readings @ 0.1 ºC resolution and 17k @ 0.5 ºC resolution. For reference, 1 year of data at hourly resolution requires ~9K readings. Memory is non-volatile, meaning that data can be retrieved even after battery depletion. 4. The clock drift is of 50 ppm at most. 5. The temperature resolution is of 0.1 ºC. Precision and accuracy are of at least 0.2 ºC. 6. Because the NFC allows for communication at a range of a few cm, it is possible to embed the loggers in the rock and still communicate with them. Refer to www.electricblue.eu for more information. Note: EnvLogger Viewer needs NFC, thus only runs on iPhone 7 or later.

PID Controller Assistant - Master the Core of Automatic Control Your comprehensive learning and simulation platform for PID control! Whether you're an engineering student, automation enthusiast, or professional engineer, this app provides everything you need to master PID control theory and practice. Core Features Comprehensive Tutorial System * Structured learning path from basics to advanced topics * Four major categories: Basic Concepts, Parameter Tuning, Scenario Applications, Advanced Techniques * Interactive examples with step-by-step guidance * Difficulty levels: Beginner, Intermediate, Advanced   Interactive Scenario Simulations * Temperature Control: Simulate incubator/oven temperature systems * Motor Speed Control: Practice DC motor speed regulation * Water Level Control: Master tank level maintenance systems * Cruise Control: Experience automotive cruise control systems * Pressure Control: Work with pneumatic/hydraulic control systems * Real-time curve visualization with adjustable parameters * Disturbance testing (door opening, temperature fluctuations, load changes, etc.) Performance Analysis Tools * Real-time performance metrics calculation * Overshoot, rise time, settling time, steady-state error analysis * Intelligent tuning suggestions based on system performance * Visual comparison of different parameter sets * History tracking and comparison features Code Generator * Export PID parameters as production-ready code * Multiple language support: C, C++, Python, Arduino, JavaScript * Copy and share generated code instantly * Perfect for rapid prototyping and deployment Advanced Visualization * Real-time response curve display * Ideal PID response examples * Multi-curve comparison view * Performance metrics charts Learning Content Fundamental Concepts * What is PID control and how it works * Relationships between setpoint, process variable, and control output * Proportional (P), Integral (I), and Derivative (D) components explained * Control system stability basics Real-World Applications * Temperature control systems * Motor speed control * Water level control * Cruise control systems * Pressure control applications Advanced Techniques * Integral windup prevention * Derivative noise filtering * Adaptive PID control * Cascade PID control strategies * Feedforward control optimization Supported PID Algorithms 1. Positional PID Control - Standard position-based control 2. Incremental PID Control - Velocity-based algorithm 3. Integral Separation PID - Prevents integral windup during large errors 4. Anti-Windup PID - Advanced integral saturation handling 5. Variable-Speed Integral PID - Adaptive integral gain 6. PID with Filter - Noise reduction for derivative term 7. Incomplete Derivative PID - Smoother derivative action 8. Derivative Ahead PID - Advanced derivative control 9. PID with Dead Zone - For systems with friction or backlash Why Choose This App?  From Theory to Practice: Seamlessly connect learning with hands-on simulation  Visual Learning: Understand abstract concepts through interactive charts and animations  Production-Ready: Export parameters as code for immediate deployment  Comprehensive: All PID algorithms and techniques in one place  Performance Focused: Real-time metrics help optimize your control systems  Professional Grade: Trusted by students, hobbyists, and engineers worldwide Perfect For * Students: Master PID control for coursework and exams * Engineers: Quick tuning reference and parameter testing * Makers: Arduino and embedded system projects * Educators: Teaching tool with visual demonstrations * Researchers: Algorithm comparison and performance analysis  Get Started Today! Download now and transform the way you learn and apply PID control. Whether you're preparing for exams, working on a project, or optimizing industrial systems, PID Controller Assistant is your essential companion.