应用Simulink模型设计和优化控制系统

Design & Optimization of Control System Based on Simulink Model

一直以来,控制理论与工程之间存在着鸿沟,很多复杂的理论难以用于解决实际工程问题,如求解实际非线性系统的优化控制问题。文中提出一种图形化建模加遗传算法优化参数的控制系统设计策略。通过采用S imu link建模,实值遗传算法进化寻优图形化模型参数,利用模型的仿真输出计算目标函数,成功优化了一个复杂非线性控制系统的参数。求解过程绕过了复杂的数学建模和优化推导。有关研究成果在解决实际工程问题时简便、高效且实用。

At present, there are gaps between the control theory and practice, the solution of non - linear system optimized control is an example. This paper proposes a new control system design strategy based on Simulink modeling and genetic algorithm. It uses Simulink to establish system＇s model, uses RVGA to search the model＇s parameters, uses model simulation output to calculate objective function. Using this method, the optimum control of a non - linear control system is realized. Because the process of optimizing system avoids complex mathematic modelling and reasoning, this method is simple, highly effective and practical in actual project.