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A genetic approach to design a fuzzy controller for a nonlinear DC motor drive is described. The genetic algorithm optimises the input/output membership functions and gains, by experimenting new solutions on-line, i.e. directly on the physical hardware. The multi-objective fitness function is defined to achieve a good trade-off of performance across different operating conditions including a variable load.