Design of Networked Control Systems Based on Single-Neuron PID

2011 ◽  
Vol 219-220 ◽  
pp. 1101-1104
Author(s):  
Yong Xian Jin ◽  
Gao Feng Che ◽  
Yi Sheng Guan
Keyword(s):  
Control Systems ◽  
Pid Controller ◽  
Single Neuron ◽  
Networked Control Systems ◽  
Design Method ◽  
Networked Control ◽  
Control Performance ◽  
Performance Requirements ◽  
Single Neuron Pid ◽  
Delay Control Systems

With the development of control theory and communication technology, networked control systems have got more and more attention. The traditional PID controller is no longer suitable to meet performance requirements of time-delay control systems. And communication network is introduced into control systems that makes systems arise some problems, such as time delays, data dropout and so on. These problems affect the control performance badly. A model based on the single-neuron PID controller for networked control systems is proposed to improve the control performance. The design method for controller is based on neural network, traditional PID controller and Smith predictive control. The simulation results represent the model we proposed has better control performance.

Application of Fuzzy Neural Network PID Controller in Networked Control Systems

2013 ◽  
Vol 273 ◽  
pp. 689-693
Author(s):  
Zi Yi Fu ◽  
Lu Wang ◽  
Lei Wang
Keyword(s):  
Neural Network ◽  
Control Systems ◽  
Pid Controller ◽  
Fuzzy Neural Network ◽  
Networked Control Systems ◽  
Control Object ◽  
Networked Control ◽  
Control Performance ◽  
Fuzzy Neural ◽  
Neural Network Pid

Aiming at the performance degradation and system destabilization which are caused by time delay in networked control systems (NCSs), a novel fuzzy neural network PID controller is proposed to alleviate the adverse effect. This approach enjoys the advantage of functional mapping of the fuzzy neural network, and gives better performance in tuning the PID controller parameters online. The simulation of the improved networked controller is carried out through the matlab/truetime, and the DC motor which has higher real-time performance is chosen as a control object. The simulation results illustrate that the controller can effectively improve the control performance and keep the system stable.

scholarly journals Design of Robust Guaranteed Cost PID Controller for Networked Control Systems

2010 ◽  
Vol 61 (2) ◽  
pp. 114-119 ◽  
Author(s):  
Quang Nguyen ◽  
Vojtech Veselý
Keyword(s):  
Control Systems ◽  
Pid Controller ◽  
Controller Design ◽  
Networked Control Systems ◽  
Design Method ◽  
Networked Control ◽  
Pid Controllers ◽  
Guaranteed Cost ◽  
Delay Dependent ◽  
Parameter Dependent

Design of Robust Guaranteed Cost PID Controller for Networked Control SystemsThe paper addresses the problem of an output feedback guaranteed cost controller design for Networked Control Systems (NCSs) with time-delay and polytopic uncertainties. By constructing a new parameter-dependent Lyapunov functional and applying the free-weighting matrices technique, the parameter-dependent, delay-dependent design method will be obtained to synthesize PID controllers achieving a guaranteed cost such that the NCSs can be stabilized for all admissible uncertainties and time-delays. Finally, numerical examples are given to illustrate the effectiveness of the proposed method.

scholarly journals H∞Guaranteed Cost Control for Networked Control Systems under Scheduling Policy Based on Predicted Error

2014 ◽  
Vol 2014 ◽  
pp. 1-12 ◽  
Author(s):  
Qixin Zhu ◽  
Kaihong Lu ◽  
Yonghong Zhu
Keyword(s):  
Control Systems ◽  
Prediction Error ◽  
Networked Control Systems ◽  
Design Method ◽  
Networked Control ◽  
Collision Probability ◽  
Linear Matrix ◽  
Scheduling Policy ◽  
Network Bandwidth ◽  
Guaranteed Cost

Scheduling policy based on model prediction error is presented to reduce energy consumption and network conflicts at the actuator node, where the characters of networked control systems are considered, such as limited network bandwidth, limited node energy, and high collision probability. The object model is introduced to predict the state of system at the sensor node. And scheduling threshold is set at the controller node. Control signal is transmitted only if the absolute value of prediction error is larger than the threshold value. Furthermore, the model of networked control systems under scheduling policy based on predicted error is established by taking uncertain parameters and long time delay into consideration. The design method ofH∞guaranteed cost controller is presented by using the theory of Lyapunov and linear matrix inequality (LMI). Finally, simulations are included to demonstrate the theoretical results.

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