Posterior control and multi-sensor infusion method and central conditioner energy-saving control device

Abstract

The invention discloses a rear testing controlled algorism in controlling domain, which is characterized by the following: choosing energy-saving control of central air-condition as checking object; making the system operate under the condition of insufficient prior knowledge; auto-optimizing parameter according to specific operating environment with controller; realizing parameter one time design before spreading the controller; self-adapting environment of the controller in using course; reaching optimizing control; realizing control goal to save electric power. This invention uses empirical control data given by engineer completely, which resolves the problem of discontinuous control for high order non-linear.

Description

Technical field:

[0001] The invention proposes a new control method—posteriori control, and designs a controller, which is applied in the field of central air-conditioning energy saving and control. In particular, it relates to devices of posterior control algorithm, posterior fuzzy neural network and multi-sensor fusion technology. Background technique:

[0002] From the perspective of control methods and theories: At present, the domestic and foreign control fields are represented by algorithms such as PID, fuzzy, and neural networks. From the perspective of intelligence, there are the following commonalities: algorithm parameter configuration is completed with human experience and experiments (prior knowledge) in the development stage before the system is put into use, and the completion of parameter configuration often ends with the completion and delivery of the project , in actual operation, the system control parameters will not change, that is, the controlled object...

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