Table 5 Pros and Cons of GA-DTC and ACO-DTC Techniques.
Criterion | GA-DTC | ACO-DTC |
|---|---|---|
Optimization efficiency | Fast convergence; effective in avoiding local minima | Balanced exploration-exploitation; good global search capability |
Dynamic performance | Rapid response with low overshoot | Smooth torque control and minimal overshoot |
Torque ripple reduction | Moderate improvement; depends on tuning precision | Superior ripple reduction due to adaptive learning |
Robustness to parameter variation | Robust under moderate variations | High robustness under real-time variations |
Computational complexity | Lower computational burden; easier to implement | More complex due to iterative pheromone updates |
Tuning sensitivity | Requires careful tuning of genetic parameters | Less sensitive to initial conditions; adaptive behavior |
Scalability | Easily extendable to other drive systems | Scalable but may need more computation time |
