Intelligent Model for Automating PID Controller Tuning for Industrial Water Level Control System

PID Controller has contributed significantly towards industrial control system due to its simplified structure and implementation. After reviewing the existing system, it has been noticed that there is a potential challenge associated with tuning the traditional PID controller, which depends upon the maximum inclusion of the manual process. Considering an industrial water tank system, the proposed system develops a concept of a PID controller to maintain the desired level of water in the tank to achieve higher efficiency. The proposed study constructs a Reinforcement learning Agent to achieve optimal control parameters. The performance of the proposed study is compared with the existing tuning method. Based on the simulated study outcome, it has been analyzed that the proposed study provides intelligent and automatic control for maintaining the desired level of water in the tank. The proposed study is able to continuously maintain the water level in tanks with a smooth transition control process.