Abstract: The design and optimization of the intelligent large-scale equipments are foundations in the whole life cycle of equipments, which is of great significance to the improvement of product quality and system performance. Due to the complex coupling relationship between physical structure and control system of intelligent large-scale equipments, it is difficult to obtain the optimal solution by traditional sequential optimization design methods. Therefore, a multidisci plenary co-design optimization method is proposed to obtain the optimal matching relationship between structure and control parameters. The traditional sequential design method and co-design optimization method of structure and control parameters are introduced. The optimality of the co-design method is proved by using KKT condition and minimum principle, and typical computational methods are presented for co-design optimization model. A paradigm of applying co-design method in the intelligent large-scale equipment is presented and demonstrated by two engineering examples of design optimization about unmanned cable shovel and unmanned bucket wheel reclaimer. The results show that the proposed co-design optimization method is superior to the traditional sequential design method, and can further improve the key performance of the intelligent large-scale equipments.

Key words: intelligent large-scale equipments, multidisciplinary co-design optimization, KKT condition, minimum principle