چكيده لاتين :
This paper presents a method for the tuning o] PID-type controllers for systems
with time-varying dyna.mics based on optimization by genetic algorithms (CA)
and swarm intelligence, i. e. a modified version of particle swarm optimization,
The powerful abilities of bio-inspired computing in locating the optimal (or nearoptimal)
solutions to a given optimization problem are utilized for determinzng
the parameters of the controller in order to meet specified performance objectives
for a given problem in terms of weighted integral of dיifferent signals. The
presented study recommends a. new modification ui PSG algorithm where a
novel approach for tuning of the lcarning [actors is employed to improve the
speed of convergence and the accuracy of the search in the multi-dimensional
space. The proposed technique has the flexibility to be applicable to a wide range
of control problems. In order to יillustrate the performance of the technique.
development and application of this algorithm for an aerospace launch vehicle
during atmospheric flight in an experimental setting is presented.
