Cooking System Adaptive Thermal Control Using Dynamic PID Parameters
Solution Overview
Problem
Conventional cooking systems, including automated ones, face challenges in maintaining precise temperature control, especially in fluctuating environments, leading to inefficiencies and inconsistencies in cooking outcomes, particularly when cooking delicate proteins or in open pots/pans where environmental factors like drafts and temperature changes are present.
Innovation Solution
A cooking system that includes a heat source and processors to dynamically adjust energy based on current and desired temperatures, using proportional-integral-derivative (PID) control with distinct gain constants for positive and negative temperature differences, and accounting for heat loss, to rapidly reach and maintain the desired temperature with minimal overshoot.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If conventional automated cooking systems are used, then temperature control is improved, but precision in fluctuating environments deteriorates
Solution Approach 1:
The system dynamically adjusts the PID controller parameters (gain constants) based on the sign of the temperature error. When temperature is below target, one set of gain constants is used; when above target, a different set is used. This dynamic adaptation allows the system to optimize heating vs. cooling responses, maintaining precision in fluctuating environments.
Solution Approach 2:
The patent changes the controller parameters (proportional, integral, and derivative gain constants) based on the system state. By selecting different parameter sets depending on whether the temperature error is positive or negative, the system adapts to varying thermal conditions and maintains precise temperature control despite environmental fluctuations.
2Device complexity
If single set of PID gain constants is used, then device complexity is reduced, but temperature control precision deteriorates
Solution Approach 1:
The system transitions from static to dynamic parameter selection by automatically choosing between two sets of PID gain constants based on the temperature error sign. This dynamic approach improves temperature stability without requiring complex manual configuration, as the system self-adapts based on real-time conditions.
Solution Approach 2:
The patent implements parameter changes by maintaining two distinct sets of PID gain constants and selectively applying them based on whether the temperature error is positive or negative. This allows optimization of both heating and cooling phases, improving overall temperature stability while keeping the device complexity manageable through automated parameter selection.
3Productivity
If aggressive heating is applied to reach target temperature quickly, then productivity is improved, but temperature overshoot increases
Solution Approach 1:
The system dynamically adjusts heating aggressiveness by using different proportional gain constants depending on the temperature error sign. This allows rapid heating when below target while preventing excessive overshoot, optimizing both productivity and temperature accuracy through state-dependent parameter adjustment.
Solution Approach 2:
The patent changes the PID parameters to optimize the heating response. By using one set of gain constants during heating and another during cooling, the system achieves fast heating rates while controlling overshoot, thus improving productivity without sacrificing temperature accuracy.
4Device complexity
If manual temperature estimation is used, then device complexity is reduced, but cooking consistency deteriorates
Solution Approach 1:
The system implements feedback by continuously measuring the actual temperature and comparing it to the target temperature. This feedback loop enables the PID controller to automatically adjust the heating power, ensuring consistent cooking results. The feedback mechanism replaces manual estimation with automated temperature monitoring and control.
Solution Approach 2:
The patent replaces manual temperature estimation (mechanical/manual system) with automated electronic temperature sensing and control. This substitution of manual measurement with electronic feedback and automated PID control significantly improves cooking consistency while adding manageable device complexity.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This system provides precise automated temperature control, reduces errors in temperature fluctuations, and ensures consistent cooking results even under adverse conditions, enhancing the cooking process for various food types and techniques.
Implementation Method 1
a heat source operable to provide an amount of energy to be used to cook a food item
Data Source
AI summary
According to one example, a system includes a heat source operable to provide an amount of energy to be used to cook a food item, and further includes one or more processors. The processors are operable to receive an indication of a requested cooking temperature, and to receive a plurality of indications of measured temperature associated with the food item at different times. The processors are further operable to determine an integral term based on differences between the requested cooking temperature and the measured temperatures, to determine a heat loss term based on the integral term, and to determine an energy adjustment based on the heat loss term. The heat source is further operable to modify the amount of energy provided by the heat source in accordance with the determined energy adjustment.