间歇过程复合迭代学习容错保性能控制器设计

Composite Iterative Learning Fault-Tolerant Guaranteed Cost Controller Design for Batch Process

针对具有执行器故障和状态时滞的间歇过程,主要考虑输出反馈与迭代学习控制相结合,即复合迭代学习可靠保性能控制器设计问题,将具有时滞的故障系统转化为等价的2D-FM模型的时滞系统,在等价模型基础上,提出了基于2D动态输出反馈的鲁棒迭代学习可靠保性能控制策略,建立了依赖于时滞、确保系统稳定且具有最优性能的充分条件,并提出具有拓展学习信息的鲁棒迭代学习容错保性能控制的优化设计算法,同时,考虑了时滞对系统稳定性及性能的影响,实现了当系统发生执行器失效故障且在故障允许范围内时闭环系统的平稳运行,并具有最优的控制性能.另外,以注射成型过程保压段的喷嘴压力设计控制律为例验证了所提方法的有效性.

Focusing on the batch processes with actuator fault and state delay, a compound iterative learn- ing reliable guaranteed cost controller combining feedback control and iterative learning control was pro- posed. The fault system with time delay was transformed to the delay system with the equivalent 2D-FM model. Then, based on the equivalent model, to guarantee the realization of the system, a robust iterative learning reliable guaranteed cost method based on 2D dynamic output feedback was proposed with devel- oped learning information. Time-delay-dependent sufficient conditions guaranteeing the system stability and best performance was constructed. Furthermore, an optimal design algorithm with expanded learning information of robust iterative fault-tolerant guaranteed cost control was derived, while taking the influ- ence of time delay on system stability and performance into consideration. The closed-loop system could run smoothly within the fault permissible range when actuator failure occurred. The application on the nozzle pressure in packing phase of injecting modeling process proves the effectiveness of the proposed scheme.