Efficient adaptive fuzzy control scheme
conference paper
The paper presents an adaptive nonlinear (state-) feedback control structure, where the nonlinearities are implemented as smooth fuzzy mappings defined as rule sets. The fine tuning and adaption of the controller is realized by an indirect adaptive scheme, which modifies the parameters of the fuzzy mapping. The performance index gradients are calculated on-line (using the sensitivity model of the subsystem to be controlled and the controller) to guide the training thus to provide relatively fast learning. Using this scheme an adaptive fuzzy controller design and simulation package was developed with direct link to DSP based real-time implementation. The tool was used to solve highly nonlinear control problems in mechatronics area.
Topics
Digital signal processingFeedbackFuzzy controlFuzzy setsLearning systemsNonlinear control systemsOnline systemsParameter estimationPerformanceReal time systemsSensitivity analysisTuningAdaptive nonlinear feedback control structureFine tuningFuzzy mappingsIndex gradientsMechatronics areaAdaptive control systems
TNO Identifier
232817
Publisher
IEEE
Source title
Proceedings of the 1995 IEEE Instrumentation and Measurement Technology Conference, 23-26 April 1995, Naltham, MA, USA
Place of publication
Piscataway, NJ, USA
Pages
741-746
Files
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