A Model Predictive Control of Asymmetric Valve Control Hydraulic Cylinders Based onSupport Vector Machine and Sequential Quadratic Programming Algorithm
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A Model Predictive Control of Asymmetric Valve Control Hydraulic Cylinders Based onSupport Vector Machine and Sequential Quadratic Programming Algorithm
A Model Predictive Control of Asymmetric Valve Control Hydraulic Cylinders Based onSupport Vector Machine and Sequential Quadratic Programming Algorithm[J]. 2020, 54(1): 93-100+107.
DOI:
A Model Predictive Control of Asymmetric Valve Control Hydraulic Cylinders Based onSupport Vector Machine and Sequential Quadratic Programming Algorithm[J]. 2020, 54(1): 93-100+107.DOI: 10.7652/xjtuxb202001012.
A Model Predictive Control of Asymmetric Valve Control Hydraulic Cylinders Based onSupport Vector Machine and Sequential Quadratic Programming Algorithm
A nonlinear model predictive controller based on a support vector machine and a sequential quadratic programming algorithm is designed to solve problems of overpressure in the position control of asymmetric valve-controlled hydraulic cylinders and pressure shock caused by spool reversal. The support vector machine is used to fit the relationship between the control signal and the piston speed and to obtain an approximate model of the system
and the sequential quadratic programming algorithm is employed to obtain outputs of the controller. The valve spool is not reversed and the piston displacement quickly reaches the target position without overshoot by adding output constraints and constraints satisfying input. Numerical simulation results show that when the signal of relative position errors is greater than 8%
the control signal output by the controller is greater than 90% of the maximum control signal
which effectively shortens the response time of the system. At the same time
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