Batch process 2D constraint fault-tolerance control method through infinite time domain optimization

Abstract

The present invention belongs to the field of automation technology advanced control, and especially relates to a batch process 2D constraint fault-tolerance control method through infinite time domain optimization. An iteration learning control law is designed for a constraint fault control system model with interference, state errors and output errors are introduced, a Roesser model is employedto convert a dynamic model of an original system to a closed-loop system model expressed by a prediction mode, and the designed iteration learning control law is converted to a determined constraint update law; and according to the designed infinite optimization performance index and a 2D system Lyapunov stability theory, giving an update law real-time online design which can ensure the asymptotically stable closed loop system robustness in a linear matrix inequality (LMI) mode. The problem is solved that the control performance cannot be improved with the batch progressive increasing and theproblem of initial value indetermination batch process is solved, and finally, energy saving and consumption reduction are achieved, the cost is reduced, and the generation probability of accidents being harmful for personal safety.

Description

Technical field [0001] The invention belongs to the advanced control field of automation technology, and in particular relates to an infinite time domain optimized batch process 2D constrained fault-tolerant control method. Background technique [0002] Intermittent process has become one of the most important production methods in modern manufacturing industry. With the increase of production scale and complexity of production steps, the uncertainty in actual production has become increasingly prominent, which not only affects the efficient and stable operation of the system , Even threatening the quality of the product. Moreover, these complex operating conditions increase the probability of system failures accordingly. Among them, actuator failure is a common failure, which will affect the operation of the process and reduce the control performance, and even endanger personal safety. Although control methods such as iterative learning reliable fault-tolerant control appeared...

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Problems solved by technology

[0007] In order to solve the above-mentioned technical problems, the present invention provides a 2D constrained fault-tolerant control method for batch processes with infinite time domain optimization, which effectively solves the problem that the control performance cannot be improved with the increase of batches and the initial value is uncertain. The control problem of the intermittent process realizes that the system can be optimized in real time within the range of variable constraints regardless of whether there is a fault or not, and finally achieves the goals of energy saving, cost reduction, and personal safety accidents

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