1 Overview
With the application of electric heating equipment in production, different control methods are also used in various heating automatic control systems. The traditional control method uses a contactor to control the main circuit to perform on-off to achieve the purpose of temperature control. This control method has many disadvantages, the temperature control accuracy is not high, and the AC contactor frequently picks up when the set temperature is reached, causing the contacts to burn out or stick together to cause the temperature to be out of control. At the same time, the frequent contact of the AC connector causes fluctuations in the grid voltage and also causes damage to the heating element. It directly affects the economic benefits of enterprises.
In order to overcome the above shortcomings, our company uses the AI ​​series intelligent instrument, trigger and bidirectional thyristor produced by Yudian Automatic Technology Co., Ltd. to control the temperature.
Intelligent power regulators are widely used in various types of hot rolling mills, electric heaters, electric ovens, drying rooms, hot lighting and other electric heating equipment for heating, constant temperature, automatic temperature control and production lines using such equipment. The control mode is flexible, the manual automatic conversion is convenient, and the temperature control precision is high. The intelligent power regulator mainly consists of intelligent instrument AI-808, thyristor module, trigger, and fast-melting. The system mainly adopts non-contact, which greatly enhances seismic, anti-corrosion and anti-interference ability. It has high stability and reliability, small size, convenient installation and maintenance, and is heat treatment, chemical, textile, food, automobile, electronics and other industries. A new generation of temperature control devices for equipment replacement.
2. Temperature control system structure and working principle
The temperature control system consists of air switch, thyristor, trigger and smart meter (see Figure 1 for control principle). The thyristor is mounted on the heat sink, and the exhaust fan and the temperature switch are installed on the heat sink to control the start and stop of the exhaust fan, so as to ensure that the thyristor has good heat dissipation under working conditions without being damaged by overheating.
The thyristor is a bidirectional thyristor with varistor or RC absorption protection and fast fuse protection. Refer to the relevant manual for specific selection.
The intelligent power regulator is a “zero voltage switch†controller composed of thyristors. When the AC voltage crosses zero, the thyristor is connected to several cycles for a certain period of time, and then several cycles are turned off. The on-time (ie, duty cycle) of the thyristor during the set period reaches the goal of adjusting the load power. This triggers the thyristor conduction when the voltage crosses zero, so that the load is a complete sine wave. Compared with the phase shifting regulator, it can avoid generating higher harmonics and has less interference to the power grid and other equipment. Higher power factor and efficiency.
The intelligent power regulator adopts the AI-808 temperature regulating instrument to form an automatic temperature control closed-loop control system. The AI-808 temperature control controller adopts embedded system and embedded PID self-tuning function. It can set temperature rise or decrease temperature control according to requirements. According to the different types of on-site temperature sensors, the type can be set freely (access thermocouple, thermal resistance and linear voltage, linear current, etc.), and can be freely set to 0-10V, 1-10mA, 4-20mA standard output control signal . Its output power is proportional to the control voltage or current. Adjustment mode: It can adopt position adjustment mode or AI artificial intelligence adjustment, including fuzzy logic PID adjustment and parameter self-tuning function control algorithm, which can be used for closed-loop control or open-loop control, manually adjust the given potentiometer to achieve temperature control. the goal of.
AI-808 artificial intelligence instrument also has segmentation power limitation and programming of multi-curve program. The communication module can communicate with the host computer to form a communication network for data acquisition and control of multiple temperature control cabinets.
Conditions of Use
Scope of application: capacitive or inductive load
Power supply voltage: three-phase four-wire 380V ±10% 50HZ or single-phase 220V
Ambient temperature: -10 °C - +45 °C 4. No conductive dust, no corrosive gas, no severe vibration.
The electric control cabinet requires good ventilation so that the thyristor has good heat dissipation conditions.
Figure 1
3, system debugging and precautions
3.1 input and output circuit check
Check the wiring according to the system schematic diagram, especially if the trigger circuit wiring is correct. The meter should be set correctly before use. Set the input specifications of the meter according to the type of on-site temperature sensor. Different output types can be set depending on the trigger receiving control signal.
3.2 False load test
Since there is no actual load, when testing the load test, connect the bulb to the output of the main circuit, set the meter to manual output control mode, press and hold the > or < key to control the brightness of the bulb, and observe whether the brightness of the bulb is dimmed. The change indicates that the trigger circuit wiring and the entire system wiring are correct.
3.3 Manual adjustment and self-tuning of smart meters
In the actual use process, the user controls the temperature according to the process requirements within a certain range. Therefore, the smart instrument artificial intelligence is adjusted, and the fuzzy rule is used for PID adjustment to achieve precise temperature control. With the self-tuning function of the meter, one to two auto-tuning can be set to achieve precise control effects. Different temperature control requirements for different time periods can be programmed to achieve control objectives.
4 Conclusion
The temperature control cabinet produced by the company has been self-tuned by the on-site temperature since it was put into operation, fully meets the requirements of users, and operates normally. It has not received any maintenance requirements from users for several years. Limited
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