United Technologies Corporation

Otis Elevator Company

Paul T Weisser, Jr

Stuart C Wright

David J Sirag, Jr

Porter D Sherman

George R Howie

David H Hetzler

A mode control (25) controls a helicopter flight control system (21) between a heading hold mode and a turn coordination mode according to switching patterns resembling the natural response of an expert pilot to flight conditions. Helicopter operating parameters (31,30) are detected (31,29) and each parameter's detected value is converted from a crisp value to a fuzzy input (100). A new mode fuzzy output is provided by applying a compositional rule of inference (105) across each fuzzy input and a composite mode selection rule base (110). The new mode fuzzy output is converted into a crisp value (112) which is used to determine whether the flight control system operates in the heading hold mode or the turn coordination mode.

Helicopter turn coordination and heading hold mode control

The traffic mode of an elevator system is set according to the number and frequency of passengers departing and arriving at a building lobby. The traffic mode is expressed as a fuzzy logic set having a term indicative of up peak mode, a term indicative of down peak mode, and a term indicative of off peak mode. The degrees of membership of each term are indicative of the degrees to which the elevator system exhibits characteristics of the respective modes.

Using fuzzy logic to determine the traffic mode of an elevator system

An improved job scheduling system provides for scheduling of a variety of jobs without special purpose coding by the use of time maps to maintain current data, including the preferred path through the shop, as well as scheduling jobs around bottleneck shop resources in a dynamic manner.

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South Windsor, CT, United States of America

Paul T Weisser, Jr