Microcontroller-based PID Temperature Controller Using Genetic Algorithms

In this work, a hardware setup has been designed to control the temperature in a varying environment. For this electronic circuitry, namely, temperature controller, an 89C51 microcontroller, has been fabricated, and for online controlling the parameters Genetic Algorithm based fuzzy controller has been implemented in the Visual-Basic5. A lot of work has been done on the fuzzy controllers as they are being used in the industries. But these controllers are unable to acquire the data and have to rely to a great extent on empirical and heuristic data which in many cases, especially in the varying environment, cannot be objectively elicited. For adaptive learning, a Genetic Algorithm technique has been employed which is modeled on the process of Natural Evolution. For adaptive learning, the environment iterative rule learning (IRL) approach has been utilized. With this approach the knowledge base table is modified after learning the environment.