In many applications of DC motor speed control systems, PID controllers are mostly used. Such control schemes do not show good performance when input and load torque disturbances are applied. This paper shows that sliding mode (SM) can give better control due to its robust property but it has an unwanted chattering problem associated with it, which is harmful to the plant. To limit this problem a hybrid controller is presented in which a fuzzy controller is combined with the SM controller by a fuzzy supervisory system in such a way that the SM controller works in transient state and the fuzzy controller in steady state. The simulation results show that the SM controller is more robust when compared to PID and fuzzy control and hybrid control gives overall better system performance and reduced chattering when compared to SM control. Simulations are done using MATLAB software.
This paper deals with the importance of load frequency control (LFC) for single and interconnected power system. It is important to keep the frequency of the system and the inter area tie power stable. The goal of LFC is to maintain the frequency, the desired power output and to control the change in tie line power between control areas in an interconnected power system. Two different techniques have been implemented in this paper which are model predictive controller MPC and conventional proportional plus integral controller PI for LFC of single area power system as well as two area system. To investigate the powerful and robustness of model predictive control (MPC) technique for LFC problems in electric power system, time simulations is performed. The obtained results indicate that the MPC provide better damping to the single area system as well as two-area system in case of load disturbance compared with conventional PI controller. The studied single-area and two-area systems are modelled and simulated using Simulink/Matlab software.
In this paper, a comparison is made for tuning methods of PID controller to improve the performance of the position control system of DC motor. Firstly, the PID controller is tuned using conventional Ziegler -Nichols method and then by using Simulink Response Optimization tool box available in MATLAB software. Further, Fuzzy gain scheduling of PID controller is investigated in which fuzzy rules are utilized on-line to adapt the PID controller parameters based on the error and its first time derivative. The result shows that the gain scheduling scheme for DC motor position control system have presented superior performance compared to other methods.
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