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A Hybrid Bacterial Foraging - PSO Algorithm Based Tuning of Optimal FOPI Speed Controller
Bacterial Foraging Optimization Algorithm (BFOA) has recently emerged as a very powerful technique for real parameteroptimization. In order to overcome the delay in optimization and to further enhance the performance of BFO, this paper proposeda new hybrid algorithm combining the features of BFOA and Particle Swarm Optimization (PSO) for tuning a Fractional orderspeed controller in a Permanent Magnet Synchronous Motor (PMSM) Drive. Computer simulations illustrate the effectiveness of theproposed approach compared to that of basic versions of PSO and BFO.
A Hybrid Bacterial Foraging - PSO Algorithm Based Tuning of Optimal FOPI Speed Controller
Bacterial Foraging Optimization Algorithm (BFOA) has recently emerged as a very powerful technique for real parameteroptimization. In order to overcome the delay in optimization and to further enhance the performance of BFO, this paper proposeda new hybrid algorithm combining the features of BFOA and Particle Swarm Optimization (PSO) for tuning a Fractional orderspeed controller in a Permanent Magnet Synchronous Motor (PMSM) Drive. Computer simulations illustrate the effectiveness of theproposed approach compared to that of basic versions of PSO and BFO.
A Hybrid Bacterial Foraging - PSO Algorithm Based Tuning of Optimal FOPI Speed Controller
Rajasekhar Anguluri (author) / Ajith Abraham (author) / Vaclav Snasel (author)
2011
Article (Journal)
Electronic Resource
Unknown
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