Variable Universe Fuzzy Controller And The Applications In The Terminal Guidance

So far, the fuzzy control has become an important form of intelligent control.Fuzzy control -ler is divided into T-S fuzzy controller and mamdanl fuzzycontroller and other forms. There are a variety of methods to improve theaccuracy of Fuzzy control,The variable universe fuzzy controller is the newmethod to improve the accuracy of fuzzy controller. The expansion factor is thekey idea, This article in-depth study the expansion factor, Results are asfollows: Analysising of basic stretching factor, basic stretching factor is lackof intelligence. Consider increasing the intelligence of stretch factor,Thepaper designs a new type of input scale factorⅠ. Take advantage of error anderror change in the form of changes to increase intelligence ofscale factor.According to Principle of classified intelligence, Design theStretching factor of output on the domain. The expansion factor ProducesDifferent control laws In different sections. Output expansion factor with theinput expansion factor and the fuzzy controller onstitute the variable universefuzzy controller. Simulation study the control performance of the variableuniverse fuzzy controller based on the expansion factors. Selectthe typical second-order objects, In the next step signal Examine the adjustmentof controller performance and Under the sinusoidal signalExaminethe controller's tracking performance. By changing the parametersand the structure of the controlled object, Further examine the controller'sAbility to adapt to parameter changes of the controlled object. Simulation resultsshow that the controller performance is better and have better ability to adaptto the parameters change.Further analysis of the new input expansion factorⅠ, thatthe new input expansion factorⅠonly be considered in error anderror change, without considering the synergybetween the two input。Considerthe trade-off between error and error change synergies, design a new typeofinput scale factorⅡ.Output expansion factor selected expansion factor with sub-intelligent control,with new input Stretching factorⅡandfuzzy controllers together form variable universe fuzzy controller based on thenew stretch factorⅡ. Simulation study the control performance of the variableuniverse fuzzy controller based on the expansion factors. Select the typicalsecond order objects, In the next step signal Examine the adjustmentof controller performance and under the sinusoidal signal Examine thecontroller's tracking performance. By changing the parameters and the structureof the controlled object, Further examine the controller's Ability to adaptto parameter changes of the controlled object. Simulation results show thatthe controller performance is better and have better ability to adapt to theparameters change.The new stretch factorⅡ, Smart sub output expansion factor and FuzzyController,Designed variable universe fuzzy guidance law based on thenew stretch factorⅡ. Simulation study the performance of the guidancelaw's guidance, select the target of several typical large motor, examineperformance of the variable universe fuzzy guidance law in theintercepting different target maneuver . Choose Proportional navigation law andDFLCwhile doing the simulation under the same conditions to further comparethe performance of guidance law guidance. Simulatio -n results show thatthe miss distance guidance law is smaller, moreflat trajectory, easier engineering.