|Author's Email Address
||This thesis had been viewed 5366 times. Download 3785 times.|
||Mechanical and Electro-Mechanical Engineering|
|Type of Document
||Hybrid Fuzzy PID Controller for a Magnetic Suspension System via Genetic Algorithms|
|Date of Defense
||hybrid fuzzy controller
magnetic suspension system
Magnetic suspension systems are highly nonlinear and essentially unstable systems. In this thesis, we facilitate the position control problem for the DC electromagnetic suspension system.
We utilize a phase-lead controller operating in the inner loop to stabilize the system first, and try to design a PID fuzzy logic controller (PIDFLC) operating in the outer loop to overcome the nonlinearity of the system and to improve the system’s performance.
Since the work of setting fuzzy control parameters is a long-winded trial and error, we adopt non-binary modified GAs to help us setting and optimizing parameters. As experimental results show that the designed PIDFLC not only increases the system’s operating range, but also positions accurately and rapidly; meanwhile, it has the ability to eliminate extra disturbance.
In addition, comparing with other control theories, the control method which we utilize is easier to be implemented.
||Jyh-Horng Chou - chair|
Huey-Yang Horng - co-chair
Ing-Rong Horng - advisor
indicate access worldwide|
|Date of Submission