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Robust PID Controller design using optimization method

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Surachai Saelim

on 28 May 2014

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Transcript of Robust PID Controller design using optimization method

Introduction
Objective
Presentation outline
Circle constraint
convex-concave optimization
PID design by pole placement
- To study theory for PID controller design by convex-concave optimization

- The controller from convex-concave optimization can be used with magnetic levitation.

- Scope of project

- Design controller

- Convex-concave optimization

- Circle constraint

- Procedure of experiment

- Result

- Conclusion




Suchol Tiewcharoen 53211844 Surachai Saelim 53211845

Project Advisor 
Asst. Prof. Dr.-Ing Sudchai Boonto
Robust PID Controller design using
optimization method

genetic algorithm(GA)
???
particle swarm
??
Convex-concave optimization

->
Procedure of experiment
Magnetic levitation
Magnetic Levitation System CE 152

Result PID controller
Result H infinity full order
Result H infinity fix structure
Result PID by convex-concave optimization
Result PID by convex-concave optimization addition constraint kd LIMIT
Result PI+LEAD by convex-concave optimization
Conclusion
- The PID controller from convex-concave optimization will have optimized parameters subject to robustness constraints.
- Calculation can be done quickly although the system has many constraints.
- The result of convex-concave optimization have a performance better than PID controller design by using the general method.
- The controller from convex-concave optimization can be used with real system.
- We can use convex-concave optimization to solve the problem when the objective function is any function but constraints must be convex function.
Full transcript