Fuzzy Temperature Control Method and Control System Based on State Machine

Abstract

The invention relates to a temperature fuzzy control method based on a state machine and a control system of the state machine. According to the control system, weighting is carried out on the signal flow direction of the state machine based on typical fuzzy control, the environment temperature gradient effect is taken into consideration, and algorithm design and verification are carried out on a corresponding temperature control platform. The control method is simple in step, the temperature state machine and fuzzy control can be effectively combined, the ec lag problem can be solved, the reliable basis can be increased for a fuzzy control decision, and the control method can be widely applied to systems with large inertia. The control system comprises a lower computer unit, an upper PC human-computer interface, an engine coolant temperature working condition simulation device, an engine coolant temperature sensor and an automobile water temperature instrument. The control system is simple and reasonable in structural design and visual and accurate in testing and calibrating and high in efficiency, signals of the engine coolant temperature sensor are measured accurately and reliably, and the simulation temperature working condition is controlled quickly and stably.

Description

technical field [0001] The invention relates to the technical field of temperature sensors, in particular to a state machine-based temperature fuzzy control method and a control system thereof. Background technique [0002] The traditional fuzzy control strategy considers the input of the error e and the error change rate ec to make temperature control decisions. For a system with a large delay in temperature, due to the large delay in the temperature response, although ec reflects the trend of temperature changes, because ec also Large lag behind the input control quantity, so ec as the input quantity is easy to cause control imbalance, low control efficiency and not accurate enough, it cannot be widely used in systems with large inertia, and cannot be effectively applied to the calibration and output characteristics of water temperature sensors and automotive water temperature instruments , sensitivity, linearity, repeatability and other testing, or related technical train...

AI Technical Summary

Problems solved by technology

[0003] The present invention proposes a method that can effectively combine the temperature state machine and fuzzy control in order to solve the problems in the traditional temperature fuzzy control, such as the large lag in error change rate measurement due to inertial delay, and the control system testing and calibration are not intuitive, accurate, and low in efficiency. , to solve the problem of ec lag, to increase the reliable basis for fuzzy control decision-making, and at the same time, the control is simple, the test and calibration are intuitive, accurate, high-efficiency, and can be widely used in the temperature fuzzy control method and its control system based on the state machine of the system with large inertia

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