This invention belongs to the field of multi-agent cooperative
intelligent control technology, specifically relating to a multi-
manipulator cooperative control method for unknown disturbances. The method includes: establishing a dynamic model of a strictly feedback nonlinear multi-
manipulator cooperative
system; constructing the
system's communication topology through a virtual
coupling mechanism; building a
unified system cooperative error model; introducing a preset
time function and a globally preset
performance function to map errors to an adjustable constraint performance space, ensuring dynamic convergence of all error signals within the user-defined performance range; designing task-level
shape control forces and
pose control forces within a distributed
gradient descent framework to construct an overall task-level
control force, driving the multi-manipulators to move cooperatively and maintain a stable formation in the task space; and designing a joint-level distributed
adaptive control law under unknown disturbances using the passive characteristics of the
nonlinear system. This invention enables multi-
manipulator systems to achieve cooperative convergence and stable control within a preset time under unknown disturbances.