Research On Control Strategy Of Lifting Device For Heavy - Duty Electrical Equipment

With the continuously increasing of Chinese electricity demands and the rapid development of the power industry, large substation constructions has been in the direction of high automation and intelligent. This put forward higher requirements on the installation of electrical equipments. Traditional control models of the existing lifting devices can’t meet the installation demands of Chinese substation constructions. To solve this problem, this paper will illustrate the use of intelligent control theory to improve the existing lifting device. The main contents are in the following:First, current applications of the heavy electrical equipment lifting device are investigated and the relevant information were collected and organized. These shows that low jacking efficiency and bad accuracy installation of the device are major problems. The fifth-order mathematical model of the heavy electrical equipment lifting device is established and simplified. The stability of the mathematical model is analyzed.Second, the fuzzy control theory is combined with operational experience in the field to design the fuzzy PID controller. This controller is used to solve the problem of low jacking efficiency. The Matlab simulation software is used to prove the effectiveness of the control strategy in improving the tracking feature jacking stages. For the problem of poor installation accuracy, the iterative learning control theory is applied to ensure the position accuracy of the adjustment phase. A closed-loop iteration controller is designed and its convergence is verified. The simulation results by the Matlab software are analyzed to illustrate the effectiveness of the control strategy.Third, the AMEsim/Simulink co-simulation platform is set up. A hydraulic mechanism model of the jacking device is built by the AMEsim software. The system controller models are built by the Simulink software. The parallel composite control method is used to the simulation study. The results show that this parallel composite control method has advantages of both strategiesFinally, main components of the field experiment and their composition are summarized. Through field experiments, the control strategy selected has been proved to have a better control effect. It also can meet the calibration requirement of the impact shock.