This invention discloses an adaptive
sliding mode control method for
tower cranes based on an improved fruit fly optimization
algorithm, comprising the following steps: Step 1): Designing an extended
state observer to observe the load swing angle state; Step 2): Designing an adaptive sliding mode controller, feeding back the observed swing angle state to the adaptive sliding mode controller, which will enable the trolley to be precisely positioned while suppressing load swing angle oscillation; Step 3): Optimizing the parameters of the adaptive sliding mode controller through an improved fruit fly optimization
algorithm, thereby improving the controller's
control effect. This invention uses a combination of a linear extended observer and an adaptive sliding mode controller, which has the advantages of easy swing angle observation, simple physical implementation of the controller, and
good control effect; in terms of parameter tuning, an improved fruit fly
algorithm is used to strengthen the cooperation among fruit flies, avoid getting trapped in local optima, and improve the controller's
control effect.