This paper proposes a new scheme of reconstructing current sensor faults and estimating unknown load disturbance for permanent magnet synchronous motor (PMSM)-driven system. First, the original PMSM system is transformed into two subsystems; first subsystem has disturbances, which are unrelated to faults, second but free from disturbances. Introducing state variable, augmented that can be having actuator faults. Second, sliding mode observers (SMOs) designed: estimated by SMO in subsystem,...

Load recovery plays a key role in the safety and performance optimization of mechanical structures, its accuracy is affected by variety factors such as sensor position direction. Most current methods are based on discrete simulation data, resulting quality dependent degree data discretization. This article aims at recovering structure load using strain response, construct surrogate model to achieve continuous mapping relationship between obtain globally optimal gage placement through an...

Concrete pump trucks are widely used in engineering construction. The fatigue life of the multi-joint robot-like boom structure, being most crucial part a concrete truck, significantly impacts safe operation and maintenance truck. A novel approach to generate load spectra evaluate for structure truck is proposed. Initially, typical operating posture defined through big data analysis inclination included angle. Subsequently, information collected pre-processed corresponding determined...

In this paper, a synthesized design of fault-detection filter and fault estimator is considered for class discrete-time stochastic systems in the framework event-triggered transmission scheme subject to unknown disturbances deception attacks. A random variable obeying Bernoulli distribution employed characterize phenomena randomly occurring To achieve residual only sensitive faults while robust disturbances, coordinate transformation approach exploited. This can transform system into two...

Abstract Considering changes, strong interference of load torque and moment inertia for alternating current position servo system, a single neuron PID sliding mode parallel compound control strategy is proposed. The architecture that consists variable structure controller the loop designed. Sliding inhibits parameter perturbations disturbance, realizes online adjustments proportional, integral, differential parameters traditional controller. simulation results show designed can guarantee...

A recursive probabilistic principal component analysis (PPCA) based data-driven fault identification method is proposed to handle the missing data samples and mode transition in multi-mode process. This model recursively obtained by using increasing number of normal observations with partly data. First, on singular value historic matrix, whole process divided into different steady modes transitions. For modes, conventional PPCA used obtain components, impute When a transition, applied, which...

This paper proposes a new scheme of online accurate estimation wheel-rail adhesion coefficient and optimal antiskid control heavy-haul electric locomotives (HHEL) based on sliding mode asymmetric barrier Lyapunov function (ABLF) theory. To achieve the HHEL, it is necessary to precisely estimate coefficient. However, difficult be measured with conventional physical sensor. The first novelty this design smart sensor observer (SMO). perception transformed into observation load torque traction...

With the rapid development of wind energy technologies and growth installed turbine capacity in world, reliability becomes an important issue for manufactures, owners, operators. The can be improved by implementing advanced fault detection isolation schemes. In this paper, observer-based method cooling system a liquid-cooled frequency converter on which is built up scalar version laboratory presented. A dynamic model scale derived based balance equation. analysis conducted to determine...

In this paper, a novel framework is proposed for deadbeat distributed Fault Detection and Isolation (FDI) of large-scale continuous-time LTI dynamic systems. The monitored system composed several subsystems which are linearly interconnected with unknown parameterization. Each subsystem by local diagnoser based on the measured output, inputs interconnection variables from neighboring subsystems. FDI decision two non-asymptotic state-parameter estimators using Volterra integral operators...

Abstract A problem of optimizing the cost function incorporated into transmission is proposed for completely unknown discrete‐time systems in this article. At first, a switched system containing two modes formulated based on whether triggering executed or not, and corresponding output feedback control law are also derived. By giving system, signal turns switching converted an optimal system. Secondly, model network presented to approximate dynamic since unknown. Thirdly, view ADP‐based...

Feature extraction and classification for deep learning are studied to recognize the problem of vehicle adhesion status. Data concentration acquired by automobile sensors contains considerable noise. Thus, a sparse autoencoder (stacked denoising autoencoder) is introduced achieve network weight learning, restore original pure signal data use overlapping convergence strategy, construct multiclassification support vector machine (SVM) classification. The adopted in different road environments...

An optimal utilization of adhesion force based on extremum seeking with sliding mode (SMES) and asymmetric barrier Lyapunov function (ABLF) is proposed for heavy-haul electric locomotives (HHELs), which can eliminate the wheel skidding at point achieves maximum traction HHELs. First, state equation wheel-rail control system described. The anti-slip are analyzed considering condition changes surface. Then, nonsingular terminal observer (NTSMO) designed to achieve accurate coefficient...

The linear induction motor (LIM) has been used in urban rail transit systems China and other parts of the world. However, specialized specifications for design or assessment bridges have not yet established. electromagnetic force LIM complicates vehicle-bridge interaction. In this paper, a typical bridge on Guangzhou metro line 4 is evaluated both experimentally theoretically to determine interaction characteristics. vehicle represented by model secondary suspension with 6 degrees freedom,...

The increasingly stringent national regulations have imposed restrictions on the weight compliance of concrete pump trucks. Through multi working condition topology optimization design and model fusion reconstruction technology, a lightweight was carried out boom structure certain type truck, achieving reduction 300 kg. pioneering reliability assessment verification for novel “hollow-out” has been conducted, representing significant milestone in industry. test results show that, static...

The design of a super-capacitor-powered shape-memory-alloy (SMA) actuated accumulator for blowout preventer (BOP) presented in this paper featured several advantages over conventional hydraulic accumulators including instant large current drive, quick system response and elimination need the pressure conduits. However, mechanical introduced two challenges, nonlinear nature SMA actuators varying voltage provided by super capacitor, control design. A cerebellar model articulation controller...

The problem of deadbeat state reconstruction for non-autonomous linear systems has been solved since several decades, but all the architectures formulated now require either high-gain output injection, which amplifies measurement noises (e.g., in case sliding-mode observers), augmentation, yields a non-minimal realization observer integral methods and delay-based methods). In this context, present paper presents, first time, finite-time continuous-time enjoying minimal linear-time-varying...

In this paper, we propose a deadbeat state observer for LTI systems having the same dimension of observed system and with no discontinuous high-gain injection. An invertible time/output dependent coordinate transformation is introduced to convert original so-named canonical form, which endowed key property known initial conditions. A then designed transformed system, providing convergence estimates in ideal case. Remarkably, presence noisy input output signals, estimation error proved be ISS...