These reference models are derived from the dynamic model of the machine under the assumption that the IFO control conditions are valid. In this study, the machine has been considered to operate under variable speed and load conditions. To improve the robustness of the MRAC strategy, a cascade parameter estimation technique has been used to track the variations of the stator resistance and the stator leakage inductance. The experimental results obtained with the proposed estimation technique as well as with the MRAC strategy are presented. The floor attribute based control method uses a combination of floor attribute based evaluation and car attribute based evaluation.
Computer simulations show it can improve multiple preferential floor settings at the same time.
Additionally, an on-line parameter tuning method using genetic algorithms is proposed. The floor attribute control method needs several dozen control parameters be tuned according to each building's traffic, and the proposed method can do it. The elitist preserving strategy is an effective way to keep control stability. A diversity recovering operation, which initializes population, excluding the elitist individual, when traffic flow data have changed, improves the following ability for transitions of utilized conditions. However, because of its performance and low-cost it is also being considered in automated manufacturing and process control environments to interconnect intelligent devices such as modern sensors and actuators.