Algorithm Research Of Simulited-Human Intelligent Control

Simulated-human intelligent control has built up integrated theory and systemic design method by the development of more than twenty years. But it still exists some problems, a few problems of MC is studied in paper. MC exists following two typical problems:(1) Simulated-human intelligent control is a kind of typical intelligent control method, it does not need accurate parameters, however, due to the algorithm coming from expert's cognition, so the parameter setting in algorithm depends on the expert's experience excessively. However owing to lack of general method leading, experienced experts still adopt the method of trying to set parameter.(2) The switching condition of multi-model control of simulated-human intelligent control is based on error and error rate, however the noise have tremendous influence to control when the control model changed, sometimes this kind of influence is fatal. That affected the application range of simulated-human intelligent control in industry. Analyses and simulations show that anti-jamming ability of basic simulated-human intelligent control is badly.In order to overcome the first problem, aiming at the basic algorithm of simulated-human intelligent control, via to studying the mathematics relation of controller parameter and object transfer function parameter, the formula of controller parameter described by object transfer function parameter is obtained, the leading expression of parameter setting is proposed in paper.In order to solve the second problem, a new kind of fuzzy simulated-human intelligent control combined fuzzy control and simulated-human intelligent control is proposed in paper. This new kind of controller optimize controller design making use of advantages of...