Design And Development Of Cloud Computing-Based Virtual Laboratory For Control System

In recent years,MOOC teaching has been highly valued by domestic and international institutions.Its flexible and open teaching mode enables students to get rid of the shackles of experimental time and place,and be able to study courses anytime and anywhere.However,at present,the teaching content of MOOC mainly focuses on theoretical learning and lacks experimental teaching.The lack of equipment and single teaching means hinder the development of MOOC experimental teaching.With the development of information technology,virtual laboratory has become the focus of experimental model reform.The construction of virtual experimental environment through virtualization technology can not only greatly reduce the cost of laboratory construction,but also provide a variety of types of experimental environment.At the same time,the rapid development of cloud computing has also injected new vitality into the development of the laboratory.Domestic and foreign universities have introduced cloud computing technology in the construction of teaching platform,so as to realize the efficient use and high sharing of teaching resources.Cloud computing laboratory has achieved initial results in network and computer teaching.Aiming at the problems of experiment teaching in control discipline,this paper puts forward the design and implementation of a cloud computing-based virtual laboratory for control system.The main work of this paper is as follows:(1)The overall architecture scheme of cloud computing-based virtual laboratory is determined,and the structure and key technologies of infrastructure layer,platform layer and software layer of virtual laboratory are studied by using hierarchical design method.(2)The cloud computing platform is designed and deployed for resource management of laboratory infrastructure layer and business management of laboratory platform layer,mainly including server cluster management,account management,virtual machine management,image management and cloud disk management.(3)Analyzes the characteristics of the thickness control process of the rolling mill,establishes the dynamic model of the hydraulic AGC system of the thickness measurement ceremony,and designs the control interaction method between the dynamic mathematical model and the 3D simulation model by VR technology.(4)Aiming at the control process of hydraulic AGC,the typical experiment links of virtual laboratory are designed,including system identification,conventional PID control and self defining control algorithm.In the virtual laboratory environment,the AGC control process is simulated.Finally,particle swarm optimization algorithm and Fuzzy RBF neural network are used to design and simulate the optimization of PID control parameters.The simulation results show that the dynamic performance and stability of the system are improved after parameter optimization.