Abstract
The random time delay in a networked control system can usually deteriorate the control performance and stability of the networked control system. In order to solve this problem, this paper puts forward a networked control system random time-delay compensation method based on time-delay prediction and improved implicit generalized predictive control (GPC). The least squares support vector machine is used to predict the future time delay of network. The parameters of the least squares support vector machine time-delay prediction model are difficult to determine, and the genetic algorithm is used for least squares support vector machine optimal prediction parameter optimization. Then, an improved implicit generalized predictive control method is adopted to compensate for the time delay. The simulation results show that the method in this paper has high prediction accuracy and a good compensation effect for the random time delay of the networked control system, has a small amount of on-line calculation and that the output response and control stability of the system are improved.
Highlights
A networked control system (NCS) is a fully-distributed and networked real-time feedback control system between sensors, actuators and controller signals transmitted over the network [1]
On the basis of the literature [17], this paper discussed least squares support vector machine (LS-SVM) prediction accuracy with different parameters, firstly using the genetic algorithm-optimized parameters of the LSSVM time-delay prediction model, and an improved implicit generalized predictive control method is used to compensate for the random time delay; the output performance of the system is improved
Since the improved implicit Generalized predictive control (GPC) algorithm is used in the controller, so the control value sequence of the future N cycles (N is the length of the control sequence) at time k can be calculated, but the specific use of the control sequence that acts on the actuator can be determined according to the relationship between the time delay and the sampling period
Summary
A networked control system (NCS) is a fully-distributed and networked real-time feedback control system between sensors, actuators and controller signals transmitted over the network [1]. The auto regression model is utilized to predict the time delay, and an improved GPC algorithm for time-delay compensation was proposed [13]; the author did not give the details of the simulation parameters. Because the network delay is uncertain, the GPC algorithm requires a larger prediction step, increasing the computing time, reducing the real-time performance of the system [16]. On the basis of the literature [17], this paper discussed LS-SVM prediction accuracy with different parameters, firstly using the genetic algorithm-optimized parameters of the LSSVM time-delay prediction model, and an improved implicit generalized predictive control method is used to compensate for the random time delay; the output performance of the system is improved. The effectiveness of the proposed method in this paper is verified
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