Position Control Optimization of Truck Crane Luffing Hydraulic Cylinder Based on ACO Optimization PID
In order to improve the position control accuracy of variable amplitude hydraulic cylinder of construction crane,Ant Clony Optimization(ACO)is introduced to optimize PID control,and the controller of position control system is presented.The step response and sinusoidal response are simulated and analyzed.The results are as follows:compared with ziegler-Nichols and Fruit fly algorithm,ant colony algorithm reduces the overshoot by 32.1%and 12.3%,the adjustment time is reduced by 34.3%and 26.54%,and the steady-state error is reduced by 54.18%and 33.21%under the step response of disturbance force.ACO optimization PID system shows better step response performance.Under the sinusoidal response of interference force,the maxi-mum tracking error of PID system optimized by ACO is lower than that of the other two algorithms,and the time average track-ing error is also significantly reduced.Through comprehensive analysis,the ACO optimization PID system achieves the best an-ti-interference performance.The research has a good practical guiding significance for improving the position control accuracy of hydraulic cylinder of truck crane.