Implementation of genetic algorithm controller to temperature control system
By: Khatri, Pooja
.
Contributor(s): Singhal, Tarun.
Publisher: Haryana International Science Press 2016Edition: Vol,6(2), Jul-Dec.Description: 109-113p.Subject(s): Computer EngineeringOnline resources: Click here
In:
International journal of embedded software and open source systemsSummary: During the last years the use of intelligent strategies for tuning of controller has been growing. The evolutionary strategies have won an important place thanks to their flexibility. The first attempts to automate the tuning of controllers were based on the time response of a process, but this approach had the drawback of requiring a lot of user interaction. A very important advancement was made when
it was decided to use the frequency response of a process instead of its time response in this way a bigger degree of automation was obtained. Optimal tuning plays on important role in operations or tuning in the complex process such as the temperature of an oven used in many industrial applications. transfer of heat inside a oven requires a delay or transportation lag.So this delay or transportation lag is overcome with the help of controller tuning using Genetic Algorithm. A comparison approach is also made with the other methods of tuning like Ziegler-Nichoals.
| Item type | Current location | Call number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
Articles Abstract Database
|
School of Engineering & Technology Archieval Section | Not for loan | 2021-2022607 |
During the last years the use of intelligent strategies for tuning of controller has been growing. The evolutionary strategies have won an important place thanks to their flexibility. The first attempts to automate the tuning of controllers were based on the time response of a process, but this approach had the drawback of requiring a lot of user interaction. A very important advancement was made when
it was decided to use the frequency response of a process instead of its time response in this way a bigger degree of automation was obtained. Optimal tuning plays on important role in operations or tuning in the complex process such as the temperature of an oven used in many industrial applications. transfer of heat inside a oven requires a delay or transportation lag.So this delay or transportation lag is overcome with the help of controller tuning using Genetic Algorithm. A comparison approach is also made with the other methods of tuning like Ziegler-Nichoals.
Click on an image to view it in the image viewer
There are no comments for this item.