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One new method is presented in this paper to deal with the stability problems for a kind of complex large-scale fuzzy systems with hybrid models. These hybrid large-scale systems are composed of lots of interconnected subsystems, some of which are described by differential equations and others by Takagi-Sugeno fuzzy models. Also time-delay is considered in this paper. Novel techniques to cope with...
The mathematical model of the principal axis control system of variable vector propeller of submersible vehicle is built. Because of the uncertainty of moment of inertia and damping coefficient, the control system may not achieve expected optimal performance, even causing instability. In accordance with these problems, the model reference adaptive fuzzy PID (proportional integration differential)...
This paper presents a fuzzy sliding mode speed control design procedure for robust stabilization and disturbance rejection of the synchronous reluctance motor (SynRM) drive system. In general, the conventional sliding mode control design is assumed that the upper boundary of parameter variations and external disturbances is known and the sign function is used. Therefore, it causes high frequency chattering...
In this paper, a systematic procedure is presented to analyze and design a stable fuzzy controller for a class of nonlinear systems. Based on the Popov-Lyapunovpsilas method, the flight model is described with the expertpsilas linguistic information involved. The linguistic information for the flight model is represented as fuzzy sets. First, we transform a fuzzy control system into a flight control...
The CMAC tuning effects to improve the Hinfin control performance is proposed in this paper. The Hinfin norm is utilized for evaluating the supremum of the robust control variable such that it ensures the Lyapunov stability of the proposed control schemes. Under the Lyapunov stable criterion, we apply the novel pre-step CMAC online tuning scheme for tuning the control variable in order to improve...
This paper presents optimal fuzzy control of a nano-positioning system by linear matrix inequality (LMI) and hierarchical genetic algorithms (HGAs). First, the Bouc-Wen model describes the nonlinear hysteresis curve of a piezoelectric actuator. Then, the Takagi-Sugeno (T-S) fuzzy model approximates the Bouc-Wen equation. The parallel distributed compensation (PDC) is designed to control the nonlinear...
A novel control strategy based on passivity theory was proposed with special attention to trajectory tracking and robust control of rigid robot. In this paper, robot model was divided into nominal model and uncertainty part. Based on the backstepping approach, feedback passivity was used to design controller for the nominal model. A variable structure concentrated compensation controller was adopted...
Using electrical machine in conventional vehicles, also called hybrid vehicles, has become a promising control scheme that enables some manners for fuel economy and driver assist for better stability. In this paper, vehicle stability control, fuel economy and driving/regeneration braking for a 4 WD hybrid vehicle is investigated by using an electrical machine on each non-driven wheels. Fourteen degree...
A multi-model control algorithm based on T-S model is presented in this paper. A stable generalized predictive controller is constructed as a local controller for the linear model, which constitutes the consequent of each fuzzy rule in the T-S model. The stability proof is given for the local controller, and then the global controller is implemented by weighed integration of the local controller....
This paper discusses the time lag in brushless DC motor system, which leads to increase system dynamic error, decrease stability margin and affect the system stability. Based on the Smith compensation control theory, the predictor of time lag is designed. However, an accurate and stable mathematical model is needed for traditional Smith predictor to get satisfactory control quality. If not, it may...
In order to improve the handling and stability of four-wheel-steering (4 WS) vehicle, a new 4 WS intelligent control system with genetic algorithm (GA) fuzzy neural network (FNN) was put forward. According to the tire cubic formula, a vehicle nonlinear dynamics model was built. Then a vehicle model based on back-propagation (BP) network was identified from the vehicle dynamics. Next a fuzzy neural...
This paper presents a new approach to the design of a fuzzy logic control scheme for a general class of nonlinear systems. For practical consideration, we firstly define two generalized errors as inputs to form a novel two-input single-output fuzzy PD controller. Then, a supervisor is incorporated into the control scheme to help achieve its closed-loop stability. The supervisor is derived based on...
Electro-hydraulic servo systems have been frequently used in the position servo system in industry and other relative field, because of their high power capability, fast response characteristics and good positioning capability. Hydraulic servo systems, however, inherently have many uncertainties, time varying and highly nonlinear characteristics due to the flow-pressure relationship, oil leakage,...
In this paper a fuzzy sliding mode control (FSMC) for spacecraft attitude tracking in terms of quaternion is designed. For this purpose, at first, the spacecraft dynamic and kinematic equations based on quaternion are described. Then, the design procedure of related variable structure controller is presented. To prove the system stability in sliding mode and also to guarantee the convergence of quaternion...
In this paper, we present a fuzzy set membership (FSM) filter for state estimation of nonlinear discrete-time systems with unknown but bounded disturbances. First, the Takagi-Sugeno (TS) fuzzy model is used to represent the nonlinear systems. Based on this model, FSM filter is proposed to further improve the numerical accuracy and stability of the nonlinear system estimation. In comparison with the...
Based on the non-linear characteristic of BUCK-BOOST converter, combining with the fine part-linear characteristic of T-S fuzzy model, this paper constructs the T-S fuzzy model of the BUCK-BOOST converter under the kind of pattern which is DCM. Adopting PDC control scheme, it designs the BUCK-BOOST converterpsilas controller via CQLF method and obtains the controller parameters by using LMI method...
This paper deals with networked control systems with random long time-delay problem. According to the actual time-delay, we design a discrete model of networked control systems and propose a fuzzy controller based on parallel distributing compensation theory. The method to design membership function is also presented. Lyapunov theory and linear matrix inequality are used to derive the sufficient conditions...
A new tuning method is proposed for fuzzy PID controller based on internal model control theory. First, the analytical model of the fuzzy PID controller is expressed as a linear PID controller plus a nonlinear compensation item. Then, the internal model control method can be used to approximately design the parameters of fuzzy PID controller analytically. Finally, stability of the fuzzy PID control...
This paper presents a fuzzy state tracking control scheme for chaotic synchronized secure communication based on the T-S fuzzy model of chaos. The conditions for dealing with the stability of the overall synchronization error system are proved by utilizing Lyapunov stability theory, and formulated into linear matrix inequalities (LMIs) afterwards. The structure of the controller is simply linear without...
The position tracking control of a missile electrohydraulic servo mechanism is studied. Since the dynamics of the system are highly nonlinear and have large extent of model uncertainties, such as big changes in load and parameters, a design method of adaptive fuzzy sliding mode control is presented. The adaptive fuzzy controller is introduced to approach the equivalent control of sliding mode control,...
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