Dynamic characteristic prediction of inverted pendulum under the reduced-gravity space environments

摘要: Abstract A new multi-local linear model based on the Tkakgi–Sugeno approach is presented to carry out controlling of a nonlinear unsteady system and make design inverted pendulum fuzzy controller. Nonlinear multi-variance behaviors are transformed using approximation method, which used implement control steadily rapidly for global system. Detailed investigations dynamic under reduced-gravity space environments performed Simulink simulations. Results showed that stabilization an greatly affected by conditions effects θ angle variation largest. When greater than 1.571 rad threshold value, balances will be lost earth, lunar microgravity conditions. Furthermore, favorable keeping balance status. An appropriate compensation provided controller can keep better pendulum.