At present, in domestic industrial control, whether it is metallurgy, electricity, equipment, or buildings, most control systems need to be decomposed into single-input and output loops, and then the loops are connected in series. This method has been used in the industry for decades. It is simple, reliable, and effective. A basic PID plus some fuzzy control can meet most requirements.
There are a series of problems in the implementation of this automatic control project:
1. Fixed parameters: The control parameters are determined during the system debugging process, mostly based on experiments and experience. During the operation of the system, they are no longer modified. In the actual operation process, these control parameters are not necessarily suitable, resulting in the system running inefficiently with illness.
2. Poor adaptability: The control function has a narrow economic range, because all control algorithms have a range. A good control algorithm can meet the user's performance requirements in the full range, but in fact, in most cases, it may not be economical. Of course, in actual operation, some capable engineers segment the algorithm, and different algorithms or parameters are used in different control intervals. In general, the same control algorithm, when debugged by different people, may result in the system's high-efficiency range being in different positions. In fact, we often see a large number of systems running in the low-efficiency range for a long time on site.
3. Too many human factors: Whether it is the choice of algorithm, the precision of control, or the choice of parameters, they are all closely related to the engineer's ability and luck and are out of control. For example, in the simplest heating, the amount of material discharged may be small during debugging, and the project may meet the requirements during debugging and acceptance evaluation, but when it is officially put into operation, the control effect will deteriorate and the fluctuation will increase due to the increased load.