Research Article
Wind and Payload Disturbance Rejection Control Based on Adaptive Neural Estimators: Application on Quadrotors
| Net=configureNet() | | Dataset= | | For i=1 totoff #Generating the dataset for off-line learning | | inputNet=[out1(i-1),… out1(i-n1), out2(i-1),…, outM(i-1)…. outM(i-nM)] | | ParM(i)=model(out1(i-1),….., outM(i-1)]) | | Element=parM(i), inputNet | | Dataset=Dataset Element | | endFor | | Net=offlineTraining(Net, Dataset) | | For i=toffto tend #on-line learning | | inputNet=[out1(i-1),… out1(i-n1), out2(i-1),…, outM(i-1)…. outM(i-nM)] | | ParS(i)=simulate(Net, inputNet) | | [out1(i),….., outM(i)]=executeUAV(ParS(i)) #Execute UAV + Controller | | ParM(i)=model(out1(i-1),….., outM(i-1)]) | | IfParM(i) then | | Element=parM(i), inputNet | | Net=onlineTraining(Net, Element) | | endIf | | endFor |
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