The invention discloses a multi-model predictive control design method for a coordinated control system of a supercritical thermal power unit based on a space metric algorithm, which is used for the control of the coordinated control system of a supercritical coal-fired unit and belongs to the field of thermal power engineering and automatic control. At present, the coordinated control system of machines and furnaces in most power plants is based on the conventional PID design. When operating in a wide range of variable operating conditions, the characteristics of large hysteresis, nonlinearity, and time-varying characteristics of the controlled objects in the machine-boiler coordination degrade the performance of the coordinated control system, resulting in the unit running During the process, problems such as low load regulation rate, poor precision, and large fluctuations in main steam pressure and steam temperature occurred. The present invention appropriately simplifies the traditional predictive control to realize the simplified design of linear predictive control, secondly combines the space metric algorithm to realize the selection of specific sub-models, and finally proposes a weighted soft switching strategy with simple calculation for the synthesis of multiple sub-controllers, which can significantly Improve the load regulation performance and unit operation stability of the 660MW unit to meet the needs of the project.