PID Tuning Using Genetic Algorithm
Genetic Algorithm PID Tuning Problem: Known system parameters K=1 and T=2, using GA to optimize PID parameters. Encoding can be binary or real-valued with flexible bit length. Population size (M), crossover rate (Pc), and mutation rate (Pm) are user-selectable. Performance metrics are evaluated over a simulation period with Q=100 calculation steps. The implementation involves designing fitness functions that quantify system performance and genetic operators for parameter space exploration.