PID Control with Genetic Algorithm Optimization

PID control is widely used in industrial production, but obtaining optimal PID parameters remains challenging. This example provides a reference for PID control enthusiasts by demonstrating genetic algorithm-based PID optimization. The implementation includes parameter tuning through selection, crossover, and mutation operations to achieve better system performance.

PID Control Widely Adopted in Industrial Production with Genetic Algorithm Implementation

While PID control is extensively utilized in industrial processes, determining optimal PID parameters remains a key challenge. This example provides a reference implementation using genetic algorithms for PID enthusiasts, demonstrating how evolutionary computation techniques can optimize controller tuning through population-based search and fitness evaluation.