With the development of modern and modern industrial control processes, there are many conveying equipment control processes that cannot be automatically controlled perfectly. The difficulty is that the process models of these belt conveyor complex systems cannot be established, or even after some simplification, the process models can be established, but the models are so complex that they cannot be solved within meaningful events and cannot be controlled in real time. Although the identification method of the belt conveyor system can be used, the time and analysis of many experiments and the change of test conditions lead to the inaccurate establishment of the model. The speed-regulating hydraulic coupling is a nonlinear system. It is quite difficult to establish the mathematical model of the belt conveyor accurately. The establishment of the mathematical model of each link of the system is assumed, assumed, approximated, neglected and simplified. In this way, the derived transfer function must be different from the actual one, and the system is a time-varying, hysteresis and saturation system. Therefore, the method of classical control theory is adopted to study the system. It can only be used as a reference and comparison function. For such a belt conveyor system, even if computer simulation and modern control theory are used, it is difficult to accurately determine the parameters, and the conclusions obtained cannot be used as rules. It can only be used as a reference for further research, because the number of inputs and outputs of this system is small, and it can even be simplified to a single-input, single-output control system, and it is not necessary to use the multivariable control and complex process control of modern control theory. Method.

According to the experience of many field workers, it is also known that according to the method of theoretical research, a lot of adjustments need to be made in practical use, especially in software programming, repeated experiments are required. Summarizing the above analysis process, considering the movement of the belt conveyor speed-adjustable hydraulic coupler spoon rod and the liquid filling volume, there is a lot of ambiguity between the circulation flow rate, the output torque, and the rotational speed. There are properties such as non-linearity, time-varying, large delays, random disturbances in the process that may not be measurable. As a result, it is difficult to establish an accurate mathematical model of the belt conveyor process. For this reason, we

Imagining people to replace the method of automatic control, that is, using fuzzy control to study, may get better results.

The belt conveyor control is to establish the control relationship with the control amount directly based on the error and change rate between the output and the set value. According to human experience, the control rules are summarized, and the belt conveyor conveying system is controlled. The use of control has the following advantages:

1. The belt conveyor control technology does not require an accurate model of the process, and the structure is relatively simple. When designing the controller, only experience knowledge and operating data in this area are required, and it can be easily established from the qualitative knowledge and experiments around the industrial process. Establish rules of control.

2. The belt conveyor control system belongs to the field of intelligent control, which can more closely reflect the control behavior of the best operator alone. It has strong control stability and is especially suitable for nonlinear, time-varying and lagging systems with frequent external disturbances. , Strong internal control.

3. Unambiguously can solve the problem that the belt conveyor control system is greatly changed (load) by the working conditions during the underground coal mining production process, or the transportation volume changes frequently due to the influence of disturbances, and the control process is relatively complicated.

4. The control system can complete self-learning, self-calibration and adjustment of the belt conveyor; at the same time, it can also contact other new controls, such as the expert system to further optimize the calculation.

5. Many practices have proved that a well-planned control system responds faster, has good static and dynamic stability, and can achieve satisfactory control of the belt conveyor.