Eberhart "Fuzzy Adaptive Particle Swarm Optimization" Evolutionary computation, 2001 proceeding of the 2001 congres on vol.1 page no.
Gaing, "Particle Swarm Optimization to solving the economic dispatch considering generator constraints," IEEE Trans.
Stukenbrock, "Toward maximum flexibility in working machinery, iht control in a mecalac excavator," 2004. Yao, "Energy-saving control of singlerod hydraulic cylinders with programmable valves and improved working mode selection," 2002. Eriksson, "Control Strategy for Energy Efficient Fluid Power Actuators: Utilizing Individual Metering," SE-581 83 Linköping, Sweden: Linköping University, 2007. There are various field of power system in which PSO is successfully applied.
(April 2003), "Nanometer stepping drives of surface acoustic wave motor", IEEE Transactions on Ultrasonics, Ferroelectrics and Frequency Control, 50, IEEE, pp. Due to its higher quality solution including mathematical simplicity, fast convergence & robustness it has become popular for many optimization problems.
The proposed four ports cylinder was simulated and parameters such as ports sizes, loads and pressures are varied during the simulation.
The hydraulic resisting forces, piston speed and mass flow rates are computed. Chenoweth, Aircraft flight control actuation system design vol.
Abstract: Particle swarm optimization (PSO ) is an effective & reliable evolutionary based approach .