Research On Coordination Mechanism And Key Technique Of Bio-inspired Manufacturing System

Today's manufacturing enterprises are facing more difficult challenges along with drastic market competition characterized by globalization, dynamic and customer-driven. Modern manufacturing system is full of uncertainties (such as unpredictable task's change, machine failure, and so on). The manufacturing system is required to dynamically coordinate to respond to changes by these uncertain factors in order to optimize resource allocation and achieve the overall optimization of manufacturing systems running. The traditional manufacturing system modes have been unable to meet requirements on adaptability to environmental change and quick response to market changes. How to make the manufacturing system modes meet market demand in a fast, efficient and economical manner is a challenge for manufacturing enterprises. The bio-inspired manufacturing system (BiMS) mode is proposed in this background. Beginning from the basic theory of BiMS, the coordination mechanism and key technique are investigated in detail, and the major research work is as follows:1,The coordination model of BiMS is studied in detail. Firstly, a bio-inspired manufacturing cell (BiMC) is proposed based on the similarities between biological system and manufacturing system, and the BiMC's homologous biological properties are also analyzed. Secondly, on the basis of analyzing the homologous biological regulation mechanism of manufacturing systems, the coordination model of BiMS is established based on pheromone-based coordination mechanism and endocrine hormone-based regulation mechanism from the macro and micro levels respectively. Meanwhile, the formal definitions and description of BiMS are presented.2,The job-shop scheduling problem (JSP) for BiMS is studied based on hormone regulation mechanism. Aiming at the disadvantages (such as poor local searching ability, easy premature convergence, low searching accuracy, difficulties in convergence criteria and parameter selection, fixed crossover probability and mutation probability, and so on) existing in traditional genetic algorithm for solving JSPs, an improved adaptive genetic algorithm (IAGA) is proposed. The algorithm is inspired by the regulation law of endocrine hormone; further more, the adaptive crossover probability and mutation probability are designed for the proposed IAGA. Compared with fixed crossover probability and mutation probability in traditional genetic algorithm, the crossover probability and mutation probability can be adaptively regulated based on endocrine hormone regulation mechanism in order to maintain a good diversity of individuals, therefore, the premature phenomenon and slow evolution problem are overcome. In addition, aiming at random disturbances existing in manufacturing system, the dynamic scheduling problem is studied. Simulation results show the effectiveness and feasibility of the proposed algorithm.3,An ectohormone-based (pheromone-based) implicit coordination mechanism is presented. On the basis of comprehensive analyzing the principles and characteristics of pheromone-based implicit coordination mechanism, the pheromone-based selecting arithmetic model between task and process route is proposed, then the pheromone-based reward and penalty functions are designed. The pheromone-based static coordination and dynamic coordination algorithms are constructed. Aiming at the shortages existing in traditional contract net protocol (CNP) coordination mechanism, a pheromone-based coordination approach is designed. Its concrete realization steps and advantages compared with CNP are given and analyzed respectively. Examples have proved the effectiveness and feasibility of the propopsed pheromone-based coordination approach.4,The health evaluation and control of BiMS is studied by combining endocrine hormone and pheromone. Firstly, the function model of coordination mechanism based on health state is given. Secondly, the health monitoring model based on endocrine system is established and this model consists of application layer, coordination layer and physical layer. Thirdly, the health monitoring and treatment method for machine failure is given. Fourthly, the real-time assessment on health state for machines equipped with "life feature" and BiMS is executed by using the group decision making method based on fuzzy analytic hierarchy process. Lastly, by combining the endocrine stimulating hormone (health value) and pheromone, the pheromone value can be dynamically adjusted in order to make task coordination respond adaptively and control the internal and external environment.5,A simulation platform of BiMS is developed in order to validate the effectiveness of the proposed basic coordination theories and approaches, and the needed related techniques for the simulation platform of BiMS are analyzed. Secondly, some humoral regulation rules between ARM controller and AGV & machine modelon controller are designed. Meanwhile, the program development is completed based on these humoral regulation rules. The multi-task program is developed based on embedded real-time operating system. Lastly, specific experiments indicate that BiMS has good adaptability and robustness.