Certain control approaches for the improvement in the performances of networked dc motor control with network challenges

Abstract

Use of networks in closed loop control system for remote control and newlineautomation has many advantages. Due to the network induced delay, missing newlineof data and disturbances in the networked control systems, the adverse effect newlinesuch as performance degradation and destabilization occur in the system. This newlineis a major concern in the networked control systems design. In this research certain approaches for the speed control of a DC newlinemotor is developed in a networked environment. The control strategy is to newlinestabilize and track the speed of the DC motor when the network induced delay newlineand packet losses occurs in the transport medium of the network data. A newlinenetworked control model of the DC motor is established. The PID control newlinealgorithm has been widely applied in field of industries to solve the network newlinechallenges because of its simple technology and good adaptability. However, newlinePID control algorithm faces difficulty in parameters tuning with the newlinechallenges in the network. Thus in order to overcome the inherence, the fuzzy newlinelogic modulator is first proposed to combine with PID controller to establish the control system. The fuzzy modulated PID controller integrates the advantages of PID newlinewith those of fuzzy logic control. Then a residual compensation approach newlinebased on intelligent controllers as artificial neural network NARMA-L2, an newlineapproximate model of nonlinear auto regressive moving average (NARMA) newlinemodel and fuzzy logic controller are employed to represent the input-output newlinebehavior of the motor and to provide the expected control input which newlineenhances the control accuracy of the system. For further improvement of the newlinecontrol performance, the combinations of neural and fuzzy as adaptive neurofuzzy newlinecontroller and the particle swarm optimization algorithm for PID controller as PID-PSO technique are employed to optimize the control newlinesystem. The effectiveness of the proposed controllers for networked DC newlinemotor system is synthesized by simulation. newline