The invention discloses a
Delta robot control method based on a
fuzzy set theory. The method comprises the following steps of firstly, establishing a
robot dynamic model, and selecting a nonlinear
friction force model representing a joint friction phenomenon of a
robot; separating out uncertain terms in the robot dynamics model, and establishing a nominal compensation link in a controller according to nominal terms in the robot dynamics model; taking a control link in a positive definite
diagonal matrix design controller to compensate an initial
position error; according to items related to uncertainty in the robot dynamics model, constructing a function representing upper bound information of uncertain items of the
system and verifying the function; designing a secondary performance indexbased on the described uncertainty information, and solving an
optimal control parameter by using D-operation and fuzzy operation; and bringing the optimized
control parameters into the uncertainty control items to obtain final optimized control output, and obtaining
optimal control gain by optimizing the secondary
performance index, so that the method is suitable for
optimal control when uncertainty factors exist in the
system.