Applied Mathematics and Nonlinear Sciences (Jan 2024)
Research on multi-objective collaborative control of complex product development in equipment manufacturing industry
Abstract
Equipment manufacturing involves the integration of multiple technologies and is a complex product system. In the independent innovation of complex product systems, product development is the most important way. Multi-objective cooperative control has been applied to various industries with remarkable results. In this paper, high quality research and development of complex products in equipment manufacturing industry is the main goal. Inspired by the dimensional parameters of the key structures of the product and the structure of the endocrine regulation network, a multi-objective collaborative controller consisting of a speed and position coordinator, a module consisting of a speed and position coordinator, a hormone discriminator, a hormone optimizer, and a controller is designed. The data from the cooperative control study shows that when the controller parameters [3, 1, 2] are used, the velocity parameter is 0.7, the differential parameter is 0.04, and the controller output parameter is 0.8. The force control parameter is 2, the differential parameter is 0.05, and the controller output parameter is 0.7. In the multi-objective cooperative control experiment, the navigator makes a uniform circular or uniform linear motion with [v1, w1]T = [0.06,0.09] T. The vector forms r2d = [0.4,0.4]T, r3d =[−0.1,0.2]T,. Both the red curve and the blue curve of the follower appear jittered. The experimental curves and control trajectories illustrate that the controller has good control over the vibration and shock phenomena that occur during the position and speed as well as force control of the product. And exhibits good tracking performance. It shows that the multi-objective collaborative controller plays a role in improving the quality of the development of complex products in the equipment manufacturing industry.
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