Design of a Robust PID Controller Using Particle Swarm Optimization and its Applications
| Autor: | Liu-Hsu Lin, 林柳絮 |
|---|---|
| Rok vydání: | 2011 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 99 This paper proposes a novel method to synthesize robust proportional-integral-derivative (PID) controllers using particle swarm optimization (PSO). Robust control is well known for its ability in dealing with system uncertainties and disturbances. Standard robust control design, however, can result in controllers that are high-order and complicated and can be difficult to implement in practical applications. PID controllers are advantageous because of their simple structures and wide acceptance in engineering practice, but they lack profound theorems in dealing with system uncertainties and disturbances. Therefore, combining the advantages of these two control algorithms, robust PID-structure controllers are proposed to optimize system performance using PSO. In this work, we first briefly introduce Hinf robust control theory and particle swarm optimization algorithm. Then, the particle swarm optimization algorithm is used to synthesize robust PID controllers and four numerical examples are used to illustrate the design procedures. Finally, the designed controller was implemented on a Proton Exchange Membrane Fuel Cell (PEMFC) control system for experimental verifications and compared with conventional Hinf controllers. From the simulation and experimental results, the proposed robust PID controller is effective and practical. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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