Automation of Liquid Level Control Through PID Controller Optimization

Situation: Develop a control algorithm to control the fluid level of a pump fed system for a pond.

Task: Develop a PID controller in python to control the fluid level height of a two tank gravity drainage system with an in-line pump. Use optimization techniques to tune the controller.

Action: Built process models from fundamentals and coded PID controller. Optimized controller by regression of parameters of an empirical model.

Result: Received an A+ on the project.

Shows the process model of the pump fed system. Valves are used to simulate pressure loss in the lines. ×

Minimization of the sum of squared errors is applied to fit a FOPDT model to the step response of tank 2. Parameters acquired from the process model are used to tune the PID controller. ×