Optimal fuzzy controller: Rule base optimized generation
MO Abdalla - Journal of Control Engineering and Applied Informatics, 2018 - ceai.srait.ro
Abstract A novel Fuzzy Logic (FL) controller design methodology is presented. The method
utilizes an in-house developed Particle Swarm Optimization (PSO) binary search algorithm …
utilizes an in-house developed Particle Swarm Optimization (PSO) binary search algorithm …
Improved performance of permanent magnet synchronous motor by using particle swarm optimization techniques
AS Elwer, SA Wahsh - 2007 Chinese Control Conference, 2007 - ieeexplore.ieee.org
This paper presents a modern approach of speed control for PMSM using Particle Swarm
Optimization (PSO) algorithm to optimize the parameters of the PI-Controller. The overall …
Optimization (PSO) algorithm to optimize the parameters of the PI-Controller. The overall …
Improved performance of permanent magnet synchronous motor by using particle swarm optimization techniques
S Wahsh, A Elwer - 2007 IEEE International Conference on …, 2007 - ieeexplore.ieee.org
This paper presents a modern approach of speed control for PMSM using particle swarm
optimization (PSO) algorithm to optimize the parameters of the PI-controller. The overall …
optimization (PSO) algorithm to optimize the parameters of the PI-controller. The overall …
Autogeneration of Fuzzy Logic Rule-Base Controllers
MO Abdalla, TA Al–Jarrah - Applied Mechanics and Materials, 2012 - Trans Tech Publ
A novel Fuzzy Logic controller design methodology is presented. The method utilizes a
Particle Swarm Optimization (PSO) binary search algorithm to generate the rules for the …
Particle Swarm Optimization (PSO) binary search algorithm to generate the rules for the …