## 1 Introduction  
Fire water supply is an important component in fire-fighting and rescue operations, and plays a key role in determining its success or failure. Fire water supply is developing in the direction of high efficiency and high stability with the increasing complexity of fire accidents and the increasing number of fire truck dispatches. As the pivotal aspect of the fire water supply, the multi-channel confluent water supply (MCCS) system is very important in ensuring the efficiency of water supply for fire-fighting and rescue work. In the event of large-scale fires, especially a fire located in a city with limited space, not only the is flow of fire-fighting water supply required, but there is also a higher demand for the stability of the water supply. The process of channel switching will inevitably occur in the multi-channel confluent water supply, which will lead to the pressure change of the water supply system. The common manifestation of pipeline pressure changes is water hammer, which can cause major damage to the water supply system. For example, references [1; 2; 3] describe in detail the failure of water supply pipes due to the water hammer effect. Reference [4] analyzes the factors that affect pressure variation in the water supply system, such as power outages, pump shut-downs, valve operation, flushing, fire-fighting and main breaks. For a fire water supply system, changes in the pressure of the system will cause cavitation of the subsequent on-board pump, the fire extinguishing performance will be affected due to the large fluctuation of the terminal fire monitor, and the precision of the foam proportional mixing system is limited. Therefore, it is necessary to use appropriate switching methods and control strategies to minimize the pressure change caused by switching under the premise of ensuring the minimum energy loss, so as to ensure the continuity and stability of water supply. The MCCS device consists primarily of a cluster structure, control system and additional equipment. In reference [5], the authors carried out a detailed analysis of the structure under the clustering conditions. The actuator of the control system is a pipeline valve. At present, proportional integral derivative (PID) controllers are mostly used to control pipeline valves in process control. This is because of their simple structure and low maintenance cost [6]. However, the traditional PID controller cannot achieve the ideal control effect due to the uncertainty of the object parameters and the nonlinearity and hysteresis of the MCCS system. In order to solve the deficiencies of the PID controller, various intelligent advanced control technologies have been developed in recent years. For example, [PERSON] et al. [7] use a sliding model controller to achieve the smoother and more rapid time responses of drum water level in a steam power plant, and the oscillation after control is smaller. [PERSON] et al. [8] develop a stable model predictive tracking controller for coordinated control of a power plant, which realizes the off-set free tracking of the system under a wide range load variation. [PERSON] et al. [9] propose an adaptive fuzzy PID controller with compensation correction, which successfully realizes the pressure control of the tractor, and has a better dynamic performance. [PERSON] et al. [10] propose an improved genetic algorithm optimization for a fuzzy controller, which realizes the accurate closed loop of the wellhead back pressure system. The control technology combined with these different advanced control methods has reached the control goals of most control systems in terms of control accuracy, response speed and robustness. Taking the combination of fuzzy control and traditional PID control as an example, domestic and foreign researchers have also conducted a lot of research in different application scenarios. [PERSON] et al.