Flexible manipulators are one of the promising
devices that can be applied in many fields especially in
automation and manufacturing fields as they are designed to
reduce energy consumption and increase the speed of operation.
However, agitation process experienced in the complex
structure of the system which causes unwanted vibration will
affect the precision of operation. Thus, an efficient control
system is required to make them functional. Therefore, the
development of an accurate model of flexible manipulator was
presented prior to establishing active vibration control to
suppress the vibration and increase efficiency of the system.
This paper presents the development of a Proportional-IntegralDerivative controller based on cuckoo search algorithm for a
single link flexible manipulator system. Initially, the system was
modelled using input and output experimental data of the hub
angle. System identification was implemented via swarm
intelligence algorithm known as cuckoo search algorithms based
on auto regressive with exogenous model structure. Then, the
performance of proposed algorithms was validated based on
three robustness methods known as mean squared error, pole
zero diagram stability and correlation tests. The simulation
results showed superior performance of cuckoo search
algorithm by achieving lowest mean squared error, good
correlation tests and high root locus stability. Then, the cuckoo
search model was implemented in the proposed control scheme
with the aim of accurate positioning at the end point of flexible
manipulator
