The invention discloses an iterative learning control algorithm for a ship steering engine, and relates to the technical field of iterative learning control, ship steering engine movement control and the like. The iterative learning control comprises three aspects of iterative learning, convergence analysis and robustness analysis. The ship steering engine system control algorithm based on iterative learning control is provided for solving the problems that randomness of environmental disturbance on a ship is strong, course complexity is high, a classic PID ship steering engine controller cannot change control parameters in real time, and the performance index requirement of a control system is difficult to meet. On the condition that only the original state is given, a control object can be completely tracked only by searching for an appropriate learning law. The iterative learning control algorithm has the advantages of being high in flexibility, good in convergence performance, high in speed, strong in robustness and the like.
Iterative learning control algorithm for ship steering engine
2015-12-30
Patent
Electronic Resource
English
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