Industrial process extended state space quadratic fault-tolerant tracking control method

Abstract

An industrial process extended state space quadratic fault-tolerant tracking control method belongs to the technical field of industrial process control, and comprises the following steps: for an industrial process, establishing an uncertain system model of a controlled object based on a state space model; designing a novel industrial process controller of the controlled object for a regular system; and under the condition that the stable operation of the system is ensured, calculating the allowable maximum interference and fault. According to the invention, the stable controller is designed,so that the system can still operate stably under the conditions that the model mismatch is caused by the fault of the system and the interference is maximum, and better control performance is realized.

Description

technical field [0001] The invention belongs to the technical field of industrial process control, and in particular relates to an industrial process extended state space quadratic fault-tolerant tracking control method. Background technique [0002] The injection molding process is widely used in plastic processing and other related fields. Although there have been some studies on the injection molding process, it is still a challenge in the high-precision control of modern plastic processing. The main reason lies in its complex dynamic characteristics and changing process conditions. Thus, system failures and disturbances increase. When the system is faulted and disturbed, the model will not match, making the system unable to run stably. Improving control performance in the presence of model mismatch remains an important issue. The iterative learning control strategy can effectively resist the uncertainty in the production link, but it requires the industrial process to...

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Problems solved by technology

However, in actual operation, the system state cannot completely change according to the obtained control law; if the system state at the current moment deviates from the set value, the same control law will continue to be used, and as time goes by As time passes, the deviation of the system state will increase, which will inevitably have a negative impact on the stable operation and control performance of the system.

[0003] Therefore, in order to solve the problem of model mismatch caused by faults and disturbances in system control, for industrial processes under unknown disturbances, the degree of freedom of parameter adjustment is increased, and the control performance of the system is guaranteed. In the case of the maximum disturbance value, the system It is extremely necessary to propose a more effective control method to improve the stability of the control accuracy and thus improve the production efficiency and product quality.

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