Genetic algorithm automated approach to the design of sliding mode control systems

Fuzzy Soft-Switching Law of an Adaptive Sliding Mode Controller for Induction Motor Speed Control

“…A potential advantage of this strategy, which the authors did not address, is its ability of using the undistorted nonlinear model of the physical system in a simulation based design process. Li et al [15] …”

“…(2) choose inverter output voltages such that [10] V,=K~+ K I 'ds-i,) ( ),OeL I (3) = (Kp +is J('ds sqs (4) Vqs =(Kp +Ki I(q* -iqs)+WeJoLsi5 +s V L Ord Lr (15) (16) According to the above analysis, the indirect field-oriented control (IFOC) [3,10,11,12] of IM with current-regulated PWM drive systems can reasonably be presented by the block diagram shown in Fig. 1.…”

A comparative study of genetic operators for controller parameter optimisation

“…Using the binary encoding as a starting point and aiming to reduce the length of the strings, the logical next step is to encode the solutions as an ordered string of octal, decimal or hexadecimal digits (Li, Ng, Murray-Smith, Gray, & Sharman, 1996).…”

UAV Controller Design Using Evolutionary Algorithms

“…To date, different evolutionary methods have been successfully applied in the area of system control, from synthesis of the linear optimal controllers [1] to complex automated controller design and optimization [2]. However, most of the works were focused rather on optimization part of the design.…”