Fuzzy Sliding Mode Control Controller Research Articles

Application of an intelligent fuzzy logic based sliding mode controller for frequency stability analysis in a deregulated power system using OPAL-RT platform

Owing to unpredicted power demand, integration of distributed generators and parametric disparity in the system cause the power system more intricacy which in turn affects the frequency and power fluctuation critically. To mitigate these phenomena, an intelligent and efficient automatic generation control (AGC) is indispensable. Therefore, in this paper, an intelligent and robust controller named fuzzy sliding mode controller (FSMC) has been recommended to tackle the AGC problem in a deregulated power system in the presence of distributed generators effectively. Again, to manifest its dominance over SMC, fuzzy-PID and PID controllers, dynamic response of the deregulated system under Poolco, Bilateral and Contract violation conditions has been evaluated and compared. Further, to support the FSMC controller’s ability, another test model has been taken for the AGC study. The gains of these controllers have been enumerated by Gannet Optimization Algorithm (GOA) subjecting to a minimization problem. Exploration phase of GOA involves two steps, namely U- & V-shaped diving patterns of Gannets and exploitation phase again involves two steps namely sudden rotation and random walk of Gannets. These four steps ensures quick convergence of the objective function to its optimal value. Apart from transient response under different power transaction conditions, parametric uncertainties of the system, solar and wind power variation and abrupt load change have been considered to support the robustness & credibility of FSMC controller. In addition to this, the stability of the proposed model has been analyzed in the frequency domain. Finally, the MATLAB/SIMULINK based transient response has been validated by a real-time simulator using OPAL-RT-4510, Xilinx Kintex-7 FPGA software.

Cascaded Inner Loop Fuzzy SMC for DC–DC Boost Converter

In this paper, the implementation of the Fuzzy Sliding Mode Controller (FSMC) in the inner loop of the cascaded control structure of the DC–DC Boost Converter is presented. On account of nonlinearity and nonminimum phase nature, switched-mode DC–DC converters show a poor response in their dynamic characteristics. In most of the works, the inner loop is served by SMC/FLC, and the outer loop by PI. In this study, the proposed FSMC, which is the combination of SMC and FLC is recommended in the inner current loop which reduces the chattering phenomena and improves the robustness against uncertainties, disturbances and varying circuit parameters with the reaching law. The Lyapunov approach is considered to study the stability of the proposed controller. A comparative analysis is made with the results obtained from the proposed FSM controller, Fuzzy and SMC control. The effectiveness of the FSMC controller is validated by observing its system performance.

SMC for semi-Markov jump T-S fuzzy systems with time delay

This paper investigates the issue of robust stabilization for delayed semi-Markov jump T-S fuzzy systems via sliding mode control (SMC). In order to reduce some conservativeness, an integral sliding mode surface (ISMS) is designed without assumption that the input matrices are plat-rule independent with full column rank, which is one of the critical factors for system performance. Based on Lyapunov functional theory, sufficient condition is provided for stochastic stability of the closed-loop system, and then extended to the case where the input matrices are independent of plant-rule. In addition, a fuzzy SMC controller is established to guarantee the finite time reachability of the predetermined fuzzy manifold. Finally, the superiorities of the proposed method are validated by a single-link robot arm model.

Design of a Fuzzy Sliding Mode Controller for the Autonomous Path-Following of a Quadrotor

This paper presents the design and the performance analysis of nonlinear controllers for the positioning and path-following of a quadrotor. The design of the fuzzy sliding mode controller (FSMC) has been carried out based on sliding mode control (SMC) integrated into a fuzzy logic approach in order to eliminate the chattering. For the performance analysis, another nonlinear controller based on backstepping technique has been designed. A hierarchical two-loop architecture is proposed in order to solve the regulation and trajectory tracking control problem. The effectiveness of the nonlinear controllers is verified by simulation in a virtual environment, where the quadrotor must attain the desired position and follow the desired trajectory even in the presence of external disturbances. The performance analysis of the nonlinear controllers taken as a case study in this research is done using suitable performance indices such as ISE, IAE, among others. The comparative results show that the FSMC controller overcomes the backstepping controller in terms of performance and robustness.

Comparison between PID controller and fuzzy sliding mode control (FSMC) on super heater system

Super heater, a component in a boiler, is an important component in a steam power plant system. It serves to transform the heat into superheated steam to spin a turbine. The steam temperature must be carefully controlled, to ensure good quality of steam. For the best performance of steam power plant (PLTU) 3-4 PJB UP Gresik, Indonesia, the temperature of superheated steam must be achieve 814 K. In this paper was designed PID controller super heater system and analysis of the performance of the system by comparing PID and FSMC. PID Controller can generate steam temperature stable at 814 K. While the FSMC controller generate steam temperature stable at 814.097 K. Thus, it was concluded that PID controller can generates more accurate steam temperature than FSMC. However when the system get a disturbance, FSMC can handle it better than PID controller.

Parameter estimation of fuzzy sliding mode controller for hydraulic turbine regulating system based on HICA algorithm

Abstract Global hydropower growth continues to increase with a relative higher rate of total installed capacity in just last 10 years. This expansion means that it is increasingly important to make a further research with respect to various hydropower stations. As the core of hydropower stations, hydraulic turbine regulating system (HTRS) attracts many attentions. In essence, HTRS is a complex nonlinear system that governs the frequency and the electrical power output of hydroelectric unit. The design of the control laws for the HTRS is an important and difficult task. In this study, a hybrid imperialist competitive algorithm (HICA) for the dynamic model of HTRS system is proposed and applied to estimate the parameters of fuzzy sliding mode controller (FSMC). In the proposed approach, sliding mode controller (SMC) is regarded as a robust control technique to the external uncertain load disturbances and fuzzy logic rule provides a better proportional gain and reduces the inherent chattering effect of the SMC controller. The HICA is developed to search optimal values of the control law and the membership functions of fuzzy logic rules. Simulations are carried out to verify the effectiveness of proposed approach, where the results show that compared with parallel PID controller and conventional SMC controller, the designed FSMC controller performs much better in terms of system performance and chattering reduction. Also, the results certify the superiority of the HICA algorithm in estimating the parameters for the proposed controller of HTRS in comparison to other classical evolutionary algorithms, where HICA reduces the value of the objective function by 3.28%, 5.33% and 9.69% compared with ICA, BSA, and PSO under unload condition, and HICA reduces the value of the objective function by 3.69%, 4.01% and 10.70% compared with ICA, BSA, and PSO under load condition.

Direct Yaw-Moment Control of All-Wheel-Independent-Drive Electric Vehicles with Network-Induced Delays through Parameter-Dependent Fuzzy SMC Approach

This paper investigates the robust direct yaw-moment control (DYC) through parameter-dependent fuzzy sliding mode control (SMC) approach for all-wheel-independent-drive electric vehicles (AWID-EVs) subject to network-induced delays. AWID-EVs have obvious advantages in terms of DYC over the traditional centralized-drive vehicles. However it is one of the most principal issues for AWID-EVs to ensure the robustness of DYC. Furthermore, the network-induced delays would also reduce control performance of DYC and even deteriorate the EV system. To ensure robustness of DYC and deal with network-induced delays, a parameter-dependent fuzzy sliding mode control (FSMC) method based on the real-time information of vehicle states and delays is proposed in this paper. The results of cosimulations with Simulink® and CarSim® demonstrate the effectiveness of the proposed controller. Moreover, the results of comparison with a conventional FSMC controller illustrate the strength of explicitly dealing with network-induced delays.

Design of fuzzy sliding mode controller for hydraulic turbine regulating system via input state feedback linearization method

The HTRS (hydraulic turbine regulating system) plays an important role in hydropower electricity generating and safe operation of water turbine. In this paper, a novel approach to the LFC (load frequency control) is presented for the HTRS system. This approach combines sliding mode control with fuzzy logic control, where the robustness of the controller is guaranteed by a predefined sliding surface and chattering phenomenon is alleviated by the fuzzy logics. The dynamic model of a hydropower plant is developed with the consideration of inner perturbations and external noises of this system. Based on input state feedback linearization method, the relationship between reference output and control output is established. Simulations of an example HTRS system respect to the dynamical behaviors analysis without controller, fixed point stabilization, periodic orbit tracking and robustness test against random noises have been carried out by using the optimal PID (proportional–integral–derivative) controller, conventional SMC (sliding mode controller) and proposed FSMC (fuzzy sliding mode controller) for evaluating the validity and effectiveness of different controllers. The results indicated that the proposed FSMC controller was excellent from the standpoint of system performance and stability for LFC control of the nonlinear HTRS system with uncertainties.

Design a Novel SISO Off-line Tuning of Modified PID Fuzzy Sliding Mode Controller

The Proportional Integral Derivative (PID) Fuzzy Sliding Mode Controller (FSMC) is the most widely used control strategy in the Industry (control of robotic arm). The popularity of PID FSMC controllers can be attributed to their robust performance in a wide range of operating conditions and partly to their functional simplicity. The process of setting of PID FSMC controller can be determined as an optimization task. Over the years, use of intelligent strategies for tuning of these controllers has been growing. Biologically inspired evolutionary strategies have gained importance over other strategies because of their consistent performance over wide range of process models and their flexibility. This paper analyses the modified PID FSMC controllers based on minimum rule base for flexible robot manipulator system and test the quality of process control in the simulation environment of MATLAB/SIMULINK Simulator.