Abstract
The PID control is most widely used in industry and its parameters setting is an important issue in the field of automatic control. In this paper, a novel tuning strategy based on multi-objective genetic algorithm (MOGA) and multi-attribute decision-making (MADM) method was proposed. The proposed strategy can balance the four performances simultaneously regarding accurate set-point tracking, disturbance attenuation, robust stability and energy consumption for actuator. The estimated Pareto-optimal set was obtained by MOGA and then an appropriate solution was selected from the set by ranking with a simple additive weighting method (SAW). To demonstrate the proposed strategy, an example of the ship course PID controller with filter for a 150,000-ton tanker with steering gear was studied. The results show that the PID controller is stable and robust with high dynamic quality.
Published Version
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