Neural network fractional order integral sliding mode control method for hydraulic position servo system
A servo system and neural network technology, applied in the field of hydraulic position servo system neural network fractional-order integral sliding mode control, can solve the problems of inaccurate hydraulic control system model, difficult accurate tracking control of hydraulic position servo system, etc., and achieve good tracking effect. , the effect of high control precision
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[0015] The present invention will be described in detail below in conjunction with the accompanying drawings and specific embodiments.
[0016] The neural network fractional order integral sliding mode control method of the hydraulic position servo system of the present invention is specifically implemented according to the following steps:
[0017] Step 1. Perform hydraulic position servo system modeling and model linearization,
[0018] refer to figure 1 , the working principle of the controlled hydraulic position servo system that the method of the present invention relies on is that the piston 1 of the asymmetrical hydraulic cylinder 3 of the control object is fixedly connected with the load 2, and the piston 1 is also in corresponding contact with the displacement sensor 4, and the displacement sensor 4 The output signal is sent to the computer 6 through the A / D conversion 9; the proportional valve 5 is a three-position four-way valve, and the hydraulic chamber A side an...
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