Realistic dishwasher controller simulation

Realistic dishwasher controller simulation comparing PI, Fuzzy, Reinforcement Learning, and ANN methods with 230V/500W load modeling

This MATLAB script simulates a complete real-world dishwasher wash-cycle control system using multiple control strategies: PI, Mamdani Fuzzy Logic, Reinforcement Learning (Q-learning, no toolbox), and ANN behavioral cloning.

The model includes realistic appliance parameters: 230 V AC input, 2 kW heating element, 500 W circulation motor, temperature dynamics, turbidity reduction, and energy consumption.