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As for parameters fluctuating, uncertainties caused by external disturbance and friction, the nonlinearity of the flight simulator turntable servo system, a discrete model reference sliding mode control theme combining with adaptive method and decoupled disturbance compensator is presented, and the globally asymptotically stability of the system is proved. The simulation results verified that the...
This paper presents a robust adaptive fault estimation design method to solve the problem of actuator fault estimation for CCBII Braking System with disturbances and model uncertainties. The proposed robust adaptive fault estimator which is based on an adaptive observer can improve the speed of fault estimation. By transforming the system model into a special coordinate basis (SCB) form, we can structure...
In this paper, the fault detection and isolation problems (FDI) of heavy-haul trains equipped with electronically controlled pneumatic (ECP) brake system are studied. A longitudinal dynamical model and the fault modes of trains are considered. A fault detection estimator bases on the nonlinear observer is designed to generate residual for detecting fault. After the fault is detected, a group of fault...
A session-based admission time ratio (ATR) feedback control mechanism is introduced in order to the control Internet load pressure. An auto-regressive moving average (CARIMA) system is described as the Internet load pressure model. The Model Reference Adaptive Controller (MRAC) based on feedback control and feedforward compensation is designed to adjust ATR, and feedback controller is used to statue...
In this paper a finite impulse response (FIR) filter for online adaptive modeling of satellite attitude control systems is proposed, and a recursive least squares (RLS) algorithm is used to adjust the adaptive FIR filter coefficients for minimizing the output error between the monitored system and the FIR filter. The fault information can be obtained through the analysis of the adaptive FIR filter...
An approximate dynamic programming (ADP) based supplementary learning control method is developed to online improve the performance of existing controllers. The proposed supplementary learning structure can make full use of the prior knowledge of the pre-designed controller and endow the controller with learning ability. Moreover, by introducing the action dependent value function for policy evaluation,...
In order to improve the performance of gyroscopes, the random drift error of a micro electro mechanical system (MEMS) gyro was analyzed and modeled. The noise feature of MEMS gyro is analyzed based on the AR model. By introducing a fading factor of Strong Tracking Filter (STF), the Sage-Husa adaptive Kalman filter reduced the effect of the error of model and noise statistical characteristics. The...
This paper presents a characteristic modeling method for continuous/discrete time-varying nonlinear systems, where the model, the first-order time-varying differential equation, is a unified one. Learning identification algorithms are suggested for the purpose of parameter estimation, and the adaptive iterative learning control strategy is proposed for achieving the perfect tracking of the desired...
Frequent construction safety accidents worldwide not only result in increased investment cost, but also seriously affect the sustainable development of the construction industry and social stability. Combined with lean thinking, the effectiveness of lean management was explored to reduce all kinds of construction accident with injury and improve enterprise performance. The relation between lean thinking,...
The problem of designing transition flight controller via improved adaptive neural network dynamic inversion for Canard Rotor/Wing (CRW) UAV is studied. The transition control strategy from rotary-wing mode to fixed-wing mode is derived according to the flight characteristic analysis. The controller is composed of trajectory outer-loop and attitude inner-loop. The dynamic inversion method is used...
Variable universe fuzzy control based on intelligent control technology is proposed in this paper for the hypersonic flight process of nearspace vehicle (NSV) with severe changes of aero-dynamic parameters and susceptibility on the external disturbances. And the contraction-expansion factor of the fuzzy control is given to modify the scale of universe and reduce the computational cost. By adopting...
The paper investigates the second-order leader-following consensus problem of nonlinear multi-agent systems via adaptive pinning control. Based on graph theory and the neighbor-based coupling rule, the adaptive pinning control strategy is proposed, the consensus condition is derived in terms of linear matrix inequalities. It is worth noting that this paper addresses that what kind of agents and how...
To improve Maneuver Target Tracking Algorithm, The multi-model intelligent input estimating method based on fuzzy logic is proposed. A fuzzy inference system is constructed with the input of the residual of observation and the residual variation. Then we could get the real-time estimate of the maneuver input of the model according to the output of the system. The algorithm is optimized by the parameter...
Microgrid is a concept that compared with the traditional power grid. It is a network made up of distributed power and load. The model of distributed generation, and micro-control model of stable operation of power system are important. Based on the characteristics of photovoltaic cell, in photovoltaic cell model, disturbance observation method is used to achieve maximum power point tracking. According...
The design of a flight controller not only stabilizes attitude angle, but also tracks a trajectory accurately. For a quadrotor unmanned aerial vehicle (UAV) in presence of parametric uncertainties and external disturbances is more challenging. A hybrid control method based on backstepping and fuzzy adaptive PID is proposed, which improves the flight stability of quadrotor aircraft in different conditions...
A lot of speech models emerge as human speech perception are more and more attention in recent years, especially which are built according to clinical trial data. DIVA (Direction Into Velocities of Articulators) is a clinical data model based mathematical model that can accurately describe the role of the human brain involved in speech production and speech understanding by the region, and simulate...
This paper focuses on the adaptive tracking problem for air-breathing hypersonic vehicles (AHVs) subject to aerodynamic uncertainties and unknown disturbances caused by modeling errors. Motivated by the nonlinear disturbance observer-based control approach (NDOBC), the parameter uncertainties are merged into the disturbances. A control law based on the tracking control method originally proposed by...
The paper presents a new cerebellar feedback-error-learning model that meets the requirement of DIVA (Directions Into Velocities of Articulators) model, and constructs a cerebellar neuronal network model that consists of 900 granular cells, 10 Golgi cells, 50 basket/stellate cells, and 10 Purkinje cells based upon neuroanatomy. By applying the new cerebellar neuronal network model to the DIVA model...
Magnetic levitation system is a typical nonlinear and instable system. Based on the complexity and inaccuracy of modelling, in this paper identified magnetic levitation system using the speciality that neural network(NN) can approach any nonlinear function. A Radial Basis Function neural network (RBFNN) controller is designed based on the neural network adaptive control principle. This paper proposes...
In order to improve forecasting model accuracy of BP neural network, an improved prediction method of optimized BP neural network based on modified particle swarm optimization algorithm (PSO) was proposed. In this modified PSO algorithm, an adaptive mutation operator was proposed in PSO to change positions of the particles plunged in the local optimization. The modified PSO was used to optimize the...
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