Intelligent control system design of a robotic manipulator. Pt. 2: modelling and physical experiment based on quantum computing technology

The problem of intelligent control system’s design with soft and quantum computing for 7 degrees of freedom manipulator is described. The self-organization knowledge base strategy of one type of fuzzy controllers using quantum soft computing technologies is considered. Coordination control of 7 degrees of freedom robot manipulator is organized by generalized unit in control system loop based on soft computing. Unified methodology of generalized unit design based on physical laws of quantum computing and connection circuit of control system with intelligent buildup on one type fuzzy controllers sequence are considered. Efficiency of proposed intelligent control systems constructing method by work in typical and unpredicted control situations is demonstrated in a comparison with control systems structures based on soft computing.