| With the rapid development of China’s steel industry,the metallurgical steel rolling production system is also constantly evolving and upgrading.Especially in recent years,the steel industry has put forward higher requirements for the automation level of steel rolling equipment to meet increasingly strict production process requirements.Traditional multi motor control systems can no longer fully meet the requirements of modern production.Therefore,applying advanced control theories and methods to study the coordinated control of high-performance multi motor drive systems is of great significance.This article focuses on the algorithm and structural optimization improvement in coordinated control,aiming at the problems of low accuracy,insufficient stability,and weak anti-interference and robustness that existing multi motor coordinated control strategies cannot meet the needs of intelligent development in steel rolling production lines.The research work mainly includes the following aspects:Firstly,taking asynchronous motors as the research object,establish their mathematical models,compare and analyze the advantages and disadvantages of different coordinated control structures,and conclude that the deviation coupling structure can effectively solve the problem of multi motor coordinated control.In response to the problem of difficulty in tuning PID controller parameters in traditional bias coupled control structures,the ISSA-PID controller is designed using improved Tent mapping,adaptive weight factors,and a hybrid strategy of Levy flight,combined with the Tarp Sheath algorithm.This achieves a better balance between the algorithm’s global search,convergence speed,and computational accuracy.In order to verify the superiority of the ISSA algorithm,Six benchmark test functions were selected for testing and compared with other algorithms.Building a multi motor simulation model on the Matlab platform,the experimental results show that the method combining the deviation coupling structure with ISSA PID controller can quickly respond to motor disturbances at different speeds and loads,reduce the impact of disturbances on the system,and further improve the control accuracy of multi motor operation.Secondly,in order to solve the problem of large synchronization error of ISSA-PID algorithm in high-precision control environment,based on the deviation coupling structure,combined with Sliding mode control algorithm,an improved deviation coupling multi motor coordinated control strategy is proposed.By using the super distortion algorithm to improve the convergence speed and dynamic tuning performance of the sliding mode function,the chattering problem in the system is solved,and the response time of the system is shortened;The traditional deviation coupling control structure is improved,the error factor speed compensator is designed,the speed compensation signal is redefined,the coupling between the motors in the system is enhanced,the speed fluctuation is small after being disturbed by the load,the synchronization error is reduced,and the control accuracy is improved.The Lyapunov equation is constructed to judge the stability of the system.Using Matlab to build a system model for collaborative control simulation experiments and analysis,the feasibility and effectiveness of the proposed new control strategy were verified.Finally,build a semi physical simulation experimental platform.The Links-RT real-time simulation system is the core,connecting the control algorithm model implemented on the computer with the real controlled object for testing.The experimental platform was tested and validated,proving that the control algorithm studied in this paper is correct and effective,providing certain reference value for experimental research on multi motor coordinated control. |