Application of Intelligent Optimization Algorithm in the Remote Flow Generalized Predictive Control of Metering Pump

The flow regulation accuracy of metering pump has a direct impact on the product quality produced by process industry, and even affects the personal safety of operators. In order to improve its control accuracy, an improved generalized predictive control system model for metering pumps based on differential evolution algorithm is established, and a given flow control simulation experiment and tracking flow control simulation experiment are performed on the model. The results show that the metering pump under generalized predictive control can quickly reach the given flow value, the adjustment process is stable; the tracking flow control effect of the metering pump is good, and it can respond to commands within 10 seconds and reach a stable state without overshooting.