Abstract
This brief proposes an efficient method for designing accurate structure-specified mixed H2/H∞optimal controllers for systems with uncertainties and disturbance using an intelligent genetic algorithm (IGA). The newly-developed IGA with intelligent crossover based on orthogonal experimental design (OED) is efficient for solving intractable engineering problems with lots of design parameters. The IGA-based method without using prior domain knowledge can efficiently solve design problems of multi-input-multi-output (MIMO) optimal control systems, which is very suitable for practical engineering designs. High performance and validity of the proposed method are evaluated by two test problems, a MIMO distillation column model and a MIMO super maneuverable F18/HARV fighter aircraft system. It is shown empirically that the IGA-based method has good tracking performance, robust stability and disturbance attenuation for both controllers, compared with the existing methods.
Original language | English |
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Pages (from-to) | 1119-1124 |
Number of pages | 6 |
Journal | IEEE Transactions on Control Systems Technology |
Volume | 13 |
Issue number | 6 |
DOIs | |
State | Published - 1 Jan 2005 |
Keywords
- Intelligent genetic algorithm (IGA)
- mixed H2/H∞ optimal control
- orthogonal experimental design (OED)