Design of automatic control method for tank level based on particle swarm optimization algorithm parameter self adjustment
Due to the presence of a large number of interference signals in the collected tank area liq-uid level signals,the controller outputs inaccurate operating quantities,resulting in a large deviation be-tween the liquid level control value and the target value,and a low control accuracy.To this end,a tank level automatic control based on particle swarm optimization algorithm parameter self adjustment is pro-posed.Based on the structural characteristics and liquid level control objectives of the tank area,the liq-uid level change rate and the second-order time-delay function of the liquid level are calculated.Then,the tank area model structure is designed,and a liquid level automation controller is constructed by combining the preset control logic and real-time data provided by the liquid level sensor.By sam-pling and filtering the input signal of the tank area liquid level,interference signals are eliminated,and the output operation quantity is calculated.Based on this,a particle swarm optimization algorithm param-eter self adjustment method is introduced to adaptively adjust the controller parameters,thereby optimi-zing the controller parameters and achieving the control of the tank area liquid level.The experimental re-sults show that after using the proposed method to control the liquid level in the tank area,the output control value is basically consistent with the target value,and the control accuracy is high.
particle swarm optimization algorithmparameter adjustmenttank farm structurecon-trollerparameter tuningliquid level control
万方数据
维普
