Liquid storage tank liquid level control method based on fractional order state spatial prediction function control

Abstract

The invention discloses a liquid storage tank liquid level control method based on fractional order state spatial prediction function control. The method comprises utilizing a Grunwald-Letnikov fractional calculus definition to convert a fractional order state space model into a discrete form; based on the fractional order state space model, obtaining a prediction output model, and introducing the fractional calculus in a target function; and finally designing a fractional order state spatial prediction function controller based on the fractional order state space model and the selected target function. The liquid storage tank liquid level control method can be preferably applied to a practical process object described by a fractional order model, can modify the deficiencies of a PFC method control fractional order system based on an integer order state space model, can increase the degree of freedom for adjusting the parameters of the controller, can acquire good control performance, and can preferably satisfy the requirement during a practical production process for a distillation column.

Description

technical field [0001] The invention belongs to the technical field of automation, and relates to a method for controlling the liquid level of a liquid storage tank in a distillation process based on fractional state space prediction function control. Background technique [0002] The distillation process is an important process in many chemical productions. Due to the diversity and complexity of energy consumption and product production requirements, the process modeling and operation optimization and control of distillation towers are extremely important. With the increasing requirements for product precision and safe operation, the modeling process of the controlled object in the distillation tower process is becoming more and more complicated. The complex production process of the distillation tower cannot be accurately described by the integer-order model, and the fractional-order model It can more accurately describe object characteristics and evaluate product performa...

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Problems solved by technology

[0003] In the actual production process, PID control is a widely used industrial process control method, but the traditional PID control method and the integer-order model predictive control (MPC) method are not very effective in controlling the fractional-order system model, and cannot meet the requirements of distillation towers. In the actual production process, the control accuracy and product requirements are getting higher and higher, which requires research on controllers with good control performance to control the actual controlled object described by the fractional order model

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