Design of LQR Controller Based on GA for Rotation System of Demoulding Machine
The concrete test block demoulding machine is a newly developed fully automated experimental device,and the rotating control system of the demoulding machine is an important component of the device operation.In order to improve the angle control of the demoulding machine's rotating system,this article designs a demoulding machine rotating controller based on optimal control theory,and verifies its effectiveness through simulation experiments.The results show that the system can reach a stable state within 2 seconds.However,the application of this method mainly depends on the selection of Q and R weighting matrices,and repeated trials are required to get satisfactory results.To solve this problem,this article adopts a genetic algorithm to optimize the weighting coefficients.Through the experimental simulations,the time length to stabilize the system is successfully reduced by 1 second.The research results demonstrate that using a demoulding machine rotating controller based on optimal control theory with the optimization through the genetic algorithm can effectively improve the angle control of the demoulding machine's rotating system,shorten the stable time and improve the efficiency of device operation.
demoulding machinerotation systemgenetic algorithmoptimal controlangle control
万方数据
维普
