Control system of a 7 degrees of freedom robot-manipulator: robust in unexpected control situations

The problems of designing control systems with soft and quantum computing on example of complex control object (7 degrees of freedom manipulator) are described. General methodology of robust fuzzy knowledge base design using special intelligent toolkit (Knowledgebase Optimizator on soft computing technology) is investigated. The self-organization knowledge base strategy of one type of fuzzy controllers using quantum soft computing technologies is considered. The efficiency of constructed intelligent control systems by use soft and quantum computing technologies is described in comparison with control system using constant settings of regulator. Set of performance criteria tailored to concerned control object (7 degrees of freedom robot manipulator) is entered for estimate of control systems work against accuracy behavior. The robot manipulator behavior under proposed intelligent control systems in unexpected control situations connected with internal noise in complex control object is considered with special attention.