Topic
Open-loop controller
About: Open-loop controller is a research topic. Over the lifetime, 16148 publications have been published within this topic receiving 224014 citations. The topic is also known as: non-feedback controller & open-loop control law.
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05 Apr 2005
TL;DR: In this paper, the authors present a system for determining the overall efficiency of a building using an environment system controller with a processor used to calculate overall efficiency, including a plurality of indoor temperature sensors, an outdoor temperature sensor, and an efficiency monitoring device.
Abstract: A computer readable medium with instructions stored on the medium. When the instructions are executed by a processor, they cause the processor to calculate overall efficiency. A system for determining the overall efficiency for a building. The system comprises: an environment system controller with a processor used to calculate overall efficiency; a plurality of indoor temperature sensors in communication with the environment system controller; an outdoor temperature sensor in communication with the environment system controller; an efficiency monitoring device in communication with the environment system controller; and a chronograph configured to time stamp sensor readings.
96 citations
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01 Sep 1999TL;DR: In this article, a conceptual and practical difficulty with the continuous-time generalised predictive controller is solved by replacing the continuously moving horizon by an intermittently moving horizon, which allows slow optimisation to occur concurrently with a fast control action.
Abstract: A conceptual, and practical difficulty with the continuous-time generalised predictive controller is solved by replacing the continuously moving horizon by an intermittently moving horizon. This allows slow optimisation to occur concurrently with a fast control action. Some nonlinear simulations illustrate the potential of this approach.
96 citations
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TL;DR: The author develops a supervisory controller for a nonlinear fuzzy control systems and proves that the fuzzy control system equipped with thissupervisory controller is globally stable in the sense that the state is guaranteed to be within the constraint set specified by the system designer.
Abstract: A supervisory controller is a controller which operates only when some undesirable phenomena occur, e.g., when the state hits the boundary of constraint set. In this note, the author develops a supervisory controller for a nonlinear fuzzy control systems. The supervisory controller works in the following way: if the fuzzy control system (without the supervisory controller) is stable in the sense that the state is inside the constraint set, the supervisory control is idle; if the state hits the boundary of the constraint set, the supervisory controller begins operation to force the state back to the constraint set. The author proves that the fuzzy control system equipped with this supervisory controller is globally stable in the sense that the state is guaranteed to be within the constraint set specified by the system designer. The author also proposes schemes by continuously switching between supervisory and nonsupervisory modes. Finally, the author applies a fuzzy controller with the supervisory controller to the inverted pendulum balancing problem where it is required that the state variables must be within a fixed bound. >
96 citations
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TL;DR: In this article, a hybrid controller consisting of a parallel connected sliding mode controller (SMC) and a neuro-fuzzy controller (NFC) for the speed control of a permanent magnet synchronous motor (PMSM) drive is presented.
96 citations
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TL;DR: The simulation results under MATLAB environment have predicted better performance with fuzzy PID supervised online ANFIS controller under all operating conditions of the drive.
96 citations