A new predictive variable structure control(PVSC) using the phase plane is proposed and applied to the third-order nonlinear model of the uncertain single machine infinite bus system(SMIBS).Due to the discontinuity of...
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ISBN:
(纸本)9781479970179
A new predictive variable structure control(PVSC) using the phase plane is proposed and applied to the third-order nonlinear model of the uncertain single machine infinite bus system(SMIBS).Due to the discontinuity of the control switches,chattering in the traditional variablestructurecontrol is avoided in *** global coordinate transformations are used to change SMIBS into a second-order *** limits of the system's uncertainties are used for *** control switches according to the predictive abscissa value of one point in the phase trajectory,which guarantees the trajectory enters a special area in the phase plane within limited time,remains in it and converges to the equilibrium point at an exponential *** results show that the system can quickly converge to the original equilibrium point and that the control law is robust.
Nonlinear sliding m ode predictivecontroller is designed for a class of nonlinear system w ith unm odeled dynam ic characteristics and nonlinear term . The m ethod is based on nonlinear opti- m alpredictivecontrol...
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Nonlinear sliding m ode predictivecontroller is designed for a class of nonlinear system w ith unm odeled dynam ic characteristics and nonlinear term . The m ethod is based on nonlinear opti- m alpredictivecontrol. The variablestructurecontrollaw m inim izes the quadratic index ofa predic- tive sliding m ode, w hich contains thecostfunction ofcontrolpreventing the controleffectfrom satu- ration for in m ostpracticalim plem entation the controlinputs are bounded by physicalconstraints and energy constraints. According to the im m easurable states, the variablestructure observer for nonlin- ear system sisadapted. The variablestructure system m ethod isaptto therealization ofobserverw ith variable param eters and uncertainty. The proofshow s thatthe states ofthe observer asym ptotically convergence to the realstates ofthe system although itisofuncertainty and nonlinear term s. Final- ly, the digitalsim ulation results prove the effectiveness ofthe proposed m ethod.
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