Abstract
In the chemical production process, the temperature of the continuous reactor has nonlinear characteristics such as large inertia. An improved autodisturbance control method is proposed. By improving the tracking differentiator with adjustable parameters, the expanded state observer and the control structure obtained an improved automatic disturbance rejection control model and realized the optimal control of the nonlinear and large-delay systems. On the process control training system, the experiment of the continuous system process flow is compared with the anti-interference of the Smith predictive compensation system, which uses an optimal set of data. The reactor temperature fluctuates, but the self-resistance is improved. The optimal overshoot of the disturbance is close to 0. Compared with the original antidisturbance controller, the antidisturbance time is not affected by the number of iterations, which reduces the high requirements on the accuracy of the parameters. Therefore, the improved automatic disturbance rejection control improves the operation and enhances the ability to resist external disturbance that changes the controlled object.
Highlights
Continuous process reactors are critical to the production quality of chemicals, fuels, and polymers
In order to meet the requirements of stable operation, automatic disturbance rejection control (ADRC) has a useful control effect on complex systems with nonlinear characteristics and can automatically compensate for various disturbances [21]
The expanded state observer estimates the state of the continuous reactor and compensates for internal and external disturbances in the reactor temperature system. e nonlinear error feedback controller combines the difference signals obtained by the tracking differentiator and the expanded state observer through a nonlinear combination as the actual control signal of the system to control the amount of cold-water flow
Summary
In the chemical production process, the temperature of the continuous reactor has nonlinear characteristics such as large inertia. An improved autodisturbance control method is proposed. By improving the tracking differentiator with adjustable parameters, the expanded state observer and the control structure obtained an improved automatic disturbance rejection control model and realized the optimal control of the nonlinear and large-delay systems. On the process control training system, the experiment of the continuous system process flow is compared with the anti-interference of the Smith predictive compensation system, which uses an optimal set of data. E reactor temperature fluctuates, but the self-resistance is improved. Erefore, the improved automatic disturbance rejection control improves the operation and enhances the ability to resist external disturbance that changes the controlled object
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