A novel hybridization design principle for intelligent mechatronics systems

Abstract

This paper presents a novel design principle as well as its methodology for intelligent machine systems based on learning of hybridization in biology. In particular, we propose two principles for hybridization of physical systems: complementary principle and compatibility principle. The complementary principle states that two systems (A, B) can be integrated when A’s strength corresponds to B’s weakness, while B’s strength to A’s weakness. The compatibility principle states that two systems when they are integrated need to be adjusted at their physical component level to minimize their side effects. It is clear that the complementary principle gives a necessary condition for two systems to be integrated; while the compatibility principle gives a sufficient condition for integration of two components. These two principles are then elaborated with respect to a generic intelligent mechatronic system model, leading to three distinct hybrid physical systems: hybrid actuation system, hybrid mechanism system, and hybrid control system. Examples of the three hybrid physical systems are illustrated to highlight the two principles. The contribution of this paper is the proposed principles to design intelligent mechatronic systems through hybridization.