Electric Heater Energy Control for Fast Stable Temperature Response
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Solution Overview
Problem
Temperature PID controllers in thermal systems face challenges in quickly reacting to thermal changes, such as load changes, which can lead to inefficiencies in maintaining target temperatures.
Innovation Solution
A method and system that predict and provide specific amounts of electrical energy to a heater based on an energy profile, allowing the temperature to reach and maintain a target temperature by adjusting wattage and time, while also accounting for thermal load changes and system responses.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Stability of the object's composition
If temperature PID control is used, then temperature stability is maintained, but response time to thermal changes is slow
Solution Approach 1:
The system performs preliminary action by predicting the required electrical energy and adjusting heater wattage before thermal changes occur. The controller calculates the predicted electrical energy needed to reach target temperature and proactively adjusts power delivery, rather than reacting after temperature deviation is detected.
Solution Approach 2:
The system applies dynamics by transitioning from static PID control to dynamic energy-based control. The controller continuously calculates optimal electrical energy delivery based on real-time thermal conditions, enabling adaptive adjustment of heater power to match changing thermal loads and maintain both stability and fast response.
2Speed
If higher wattage is applied to reach target temperature faster, then response time improves, but temperature overshoot increases
Solution Approach 1:
The system applies partial action by delivering precisely the predicted amount of electrical energy needed to reach target temperature, avoiding excessive energy delivery that would cause overshoot. The controller calculates optimal energy delivery based on thermal mass and desired temperature change, applying only the necessary amount of power.
Solution Approach 2:
The system uses feedback by continuously monitoring actual temperature and comparing it to target temperature, then adjusting subsequent electrical energy delivery accordingly. The controller incorporates temperature feedback to refine predictions and prevent overshoot while maintaining fast response to thermal changes.
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 approach enables timely and effective control of heater temperatures, reducing overshoot and maintaining stability within a temperature approach band, even under dynamic conditions.
Implementation Method 1
providing the one or more wattage to the heater
Data Source
AI summary
A method for controlling a heated process of a heater includes: obtaining a target temperature; identifying a first amount of electrical energy based on a prediction that the first amount of electrical energy is sized to cause a temperature of the heated process to reach the target temperature, wherein the first amount of electrical energy is indicative of one or more wattage, the first amount of electrical energy is indicative of a quantity of time that the one or more wattage is applied to the heater, and the prediction is based on an energy profile associated with the heater; and providing the one or more wattage to the heater for a portion of the quantity of time.