Research on Engine Speed Control Based on Tuna Swarm Optimization

Accurate control of engine speed can effectively improve fuel economy and comfort. Currently, the commonly used PID parameter setting methods for include Ziegler-Nichols method gradient method, etc. Although they have good performance in setting, still shortcomings such as slow response to process long stability time. In this paper, tuna swarm optimization is adjust parameters, optimized results are compared with traditional results. The experimental show that under same test conditions, be reduced by 3.2-6.2s, maximum overshoot 0.5%-5%, steady-state error 0.6%-0.8%.The has an obvious effect control, which provides a theoretical basis application other group algorithms control.