50 research outputs found
Design of Hybrid System Power Management Based on Load Demand Using Operational Control System
No full textRobust Adaptive Sliding Mode Control Design with Genetic Algorithm for Brushless DC Motor
No full textThis study aims to design a control scheme that is capable to improve performance and efficiency of brushless DC motor (BLDC) in operating condition. The control scheme is composed of sliding mode controller (SMC) with proportional-integral-derivative (PID) sliding surface. The PID sliding surface is used to improve the system transient response. Then, the SMC-PID is optimized by genetic algorithm optimization for further improvement on the stability and robustness against nonlinearities and disturbances. Chattering problem that appear in the SMC is minimized by employing an adaptive switching gain for the SMC that is integrated with Luenberger Observer. Lyapunov function candidate is applied to guarantee the stability of the system. Simulation on the proposed work is done in Matlab Simulink. Results of the simulation works indicate that the proposed control scheme can improve the transient response, the stability and robustness of the BLDC motor compared to the conventional SMC in the existence of nonlinearities and disturbances
Robust and Accurate Positioning Control of Solar Panel System Tracking based Sun Position Image
No full textAdaptive sliding mode control with disturbance observer for a class of electro-hydraulic actuator system
Get PDFPosition tracking control has become one of the most popular studies in the control of Electro-Hydraulic Actuator (EHA) systems. However, it deals with highly nonlinear behaviours, uncertainties and external disturbances, which significantly affect the control performance. In the class of nonlinear robust control, Sliding Mode Control (SMC) has become an effective approach for systems experiencing these issues due to its discontinuous nature. But, employing SMC as a stand-alone controller may not be effective for EHA systems with time-varying external disturbance, and integration is needed. Hence, the objective of this study is to formulate and implement a robust SMC in adaptive control form integrated with Nonlinear Disturbance Observer (NDO) to guarantee robustness, position tracking accuracy, and smoothness of the control actions to an EHA system in the presence of uncertainties and disturbances. The EHA system was modelled as a nonlinear system which contains nonlinearities, uncertainties and disturbances. The SMC was developed in integration with NDO, in which switching gain of the SMC is designed to be adaptive on the bounds of uncertainties and disturbances, and updated by the NDO through an adaptation mechanism. Stability of the SMC and the NDO are guaranteed by the Lyapunov function candidate. Simulation and experimental results show that capability of the integrated controller to improve the smoothness of the control actions is as good as the stand-alone adaptive SMC with varying boundary layers technique. Also, it is capable to maintain the tracking accuracy about 25% better than the stand-alone SMC. Integration of the NDO into the SMC offers a better compromise between position tracking accuracy and control actions smoothness in position tracking control technique based-SMC
Adaptive discrete sliding mode control for a non-minimum phase electro-hydraulic actuator system
No full textThis paper presents an adaptive robust control technique based on discrete sliding mode control (DSMC) for an electro-hydraulic actuator (EHA) system. A new adaptive control strategy with the enhancement of DSMC with two-degree-of-freedom (2-DOF) structure is proposed. The control scheme that will render uncertain system and time-varying in EHA system's parameters can be obtained by the integration of recursive system identification technique. A comprehensive performance evaluation with quantitative measures and validation of the tracking performance is presented. In the experimental studies, Optimal Linear Quadratic Regulator (LQR) and Proportional-Integral-Derivative (PID) are implemented to be compared with the proposed robust controller. The results showed that robust system performance is achieved with DSMC for various system conditions while capable to reduce the control effort and gives better tracking performance as compared to the conventional LQR and PID controller
and Zulfatman, “Sliding Mode Control with PID Sliding Surface of an Electro-hydraulic Servo System for Position Tracking Control
No full textAbstract: This paper presents the position tracking performance of an electro-hydraulic hydraulic servo (EHS) system using sliding mode control (SMC) with proportional-integral-derivative (PID) sliding surface. In modelling process, a mathematical model of the EHS system is developed by considering its nonlinearities as represented by a Lu-Gre friction model. The control strategy is derived from the developed dynamics equation and stability of the control system is theoretically proven by Lyapunov theorem. Simulation results show that the proposed controller has a better tracking performance compared to conventional PID controller
Active Fault Tolerance Control For Sensor Fault Problem in Wind Turbine Using SMO with LMI Approach
No full textMonitoring Fuel Oil Based Radio Frequency Identification (RFID) Client
Get PDFMotorcycles are a means of transportation which plays an important role in people's lives. One of the existing problems on the motorcycle is the indicator system or often called by speedometer, an indicator system showing the value of the volume of fuel oil. In fact, the sensor unit used by the indicator is not a volume sensor but the surface of the fuel sensor in the form of mechanical potentiometers. This equipment irregularly measures oil tank so that the mathematical approach to formulate the relationship between surface height and gasoline volume will be difficult. Therefore, to interpret the data manipulation done by comparison method is the method of comparison experiment and calculation. This method is applied in this research due its more superior accuracy and efficiency. This research designs hardware for monitoring fuel oil based on Radio Frequency Identification (RFID) using AT mega 328 as main controller and LCD to display driver’s identity sent by General Packet Radio Service (GPRS). The sensor used is a buoy sensor, measuring the fuel volume between 0.20 liters to 9.55 liters. It is known that the comparative method has an average rate of 16.1%, in measuring the fuel volume between 0.20 liters to 3.68 liters. It is known that the comparative method has an average rate of 17.9%. On measuring the fuel volume between 0.20 liters to 3.43 liters, the comparative method having an average rate of 7.2% is employed. Based on the test results, the best comparison method in comparison with the interpolation method with the average rate of smallest 7.2% is determined.
