Application of Adaptive Control on Carbon Fiber Diagonal Loom

In order to improve the control effect of the tension fluctuation, a single neuron adaptive control strategy based on quadratic performance index is proposed in this paper. The structure and the working principle of carbon fiber diagonal loom are studied which can be used for dynamic analysis and controller design. With the idea of optimal control, the parameters of the controller are adjusted by minimizing the sum of the square of the output error and the control increment. The simulation results based on TrueTime show that the strategy adopted in this paper compared with the traditional control strategy have the advantages of faster response time and smaller overshoot in networked control system.

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