改进粒子群算法在湿法烟气脱硫系统PID控制参数优化中的应用

摘要

This method will be improved particle swarm algorithm is obtained by the optimized parameters used PID controller, and through the optimization algorithm optimal satisfied system performance index of the optimal controller parameters, effectively improve the control system stability. Finally, through the booster fan inlet pressure of PID control algorithm simulation, verify the validity of the proposed algorithm.%将改进的粒子群算法所获得的优化参数用于PID控制器的优化,并通过算法寻优得到了满足系统性能指标的最佳控制器参数,有效地提高了控制系统稳定性.最后,通过增压风机入口压力PID控制的算法仿真,验证了算法的有效性.