Abstract In this paper, we apply a so‐called robust and perfect tracking ( RPT ) control technique to the design implementation of flight system miniature unmanned rotorcraft, named H e L ion. To make presented work self‐contained, will first outline some background knowledge, including mainly nonlinear dynamics model inner‐loop design. Next, highlight that is, outer‐loop procedure using RP T technique, be detailed. Generally speaking, aims controller such (i) resulting closed‐loop is...

Course control is the basis of Unmanned Surface Vehicle (USV) system, largely determines performance USV. Because some uncontrollable factors such as wind, wave and other random disturbances, course an always difficult. In recent years, there have been studies adaptive system for USV, but they are not precise enough engineering practice. this paper, we propose a novel method based on Back-propagation Neural Network (BPNN) Artificial Bee Colony (ABC) algorithm. We use classic PID algorithm...

The presence of outliers is the main reason leading to ineffectiveness advanced data-driven control methods in electric arc furnace systems. This paper proposes a hybrid method dedicated detecting systems, where process data are characterized as unlabeled, imbalanced, non-stationary and noisy. First, raw divided into certain number clusters. Then, with each cluster, one-class classifier can be trained. So these well-trained sub-models, new test points investigated. Those that rejected by all...

Purpose This paper aims to present a control strategy that eliminates the longitudinal and lateral drifting movements of coaxial ducted fan unmanned helicopter (UH) during autonomous take-off landing reduce coupling characteristics between channels UH for its special model structure. Design/methodology/approach Unidirectional auxiliary surfaces (UAS) terminal sliding mode controller (TSMC) are designed flight system UH, hierarchical is proposed improve decoupling ability UH. Findings It...

Soybean aphid (Aphis glycines Matsumura) is one of the major limiting factors in soybean production. The mechanism resistance remains enigmatic as little information available about different mechanisms antibiosis and antixenosis. Here, we used genome-wide gene expression profiling susceptible, antibiotic, antixenotic genotypes to investigate underlying aphid–plant interaction mechanisms. high correlation between infested non-infested indicated that response was controlled by a small subset...

Unmanned Surface Vehicle (USV) is a small surface naval vessel which navigates and plans by itself. And undoubtedly, it plays vital role in now future battle sea rescue. Adaptive course control necessary part of USV control, recent years, many researchers have done plenty works on it, however, their method did not solve the problem accuracy transfer function or maneuvering problems simple efficient way. In view this problem, we propose novel adap- tive based back-propagation neural network...

The soybean aphid (Aphis glycines Matsumura) is one of the most serious pests (Glycine max [L.] Merrill) worldwide. Aphid resistance genes have been identified. However, little known about for to Chinese strains. objective this study was identify type in cultivar P746 and determine inheritance resistance. In choice no-choice tests, significant differences average number aphids damage index were observed between susceptible Dongnong 47 11 d 21 after infestation. F2 plants their F2:3 families...

A complete flight control scheme with detailed design methodology is proposed for an indoor miniature coaxial helicopter fixed collective pitch. To avoid system complexity and the problem of minimum phase control, dynamic model decomposed into two cascaded subsystems: inner one attitude heading outer trajectory control. H-infinity technique robust perfect tracking method are used to respectively inner- outer-loop controllers. By using so-called asymptotic time-scale eigenstructure assignment...

By analyzing the basic structure and algorithm of LVQ neural network its deformation, this paper studies breast tumor diagnosis method based on improved network. The needs to process all input features, because feature dimension is too large, redundant information much, training takes long, so apply PCA preprocess features. In essence, direction with largest variance as main "de-correlates" data in each orthogonal direction. It a parameterless technology without intervention subjective...

As increasing data-driven control strategies are applied in electric arc furnace systems, the problem of novelty detection has drawn more attentions than before. The presence outliers should be main obstacle practical applications for these advanced techniques. To this end, paper proposes a dynamically selective support vector data description model to discover novelties furnace. In model, plays role base detector. Artificial generated with two objectives, one is assist dynamic selection,...

A novel remotely operated underwater vehicle-a hybrid vehicle (HROV) capable of working to the full ocean depth has been developed. The battery powered operates in two modes. For broad-area survey, can operate as an autonomous (AUV) mapping sea floor with sonars and cameras. close up imaging sampling, a (ROV) employing optic fiber tether for real-time telemetry data video its operators on surface ship. In order achieve certain survivability reliability level, self-repairing control system...

Control design in the longitudinal-vertical channel is studied for tilt-rotor aircraft at low speed flight. The famous XV-15 used as a prototype. A model predictive control (MPC) developed based on state-space cascaded architecture. MPC algorithm considers terminal cost its objective function so to ensure close-loop stability, and an error-rate term introduced order improve transient performance. By transforming constraints, controller designed linearized single operating point applied whole...

To improve the iterative convergence speed, a new learning control algorithm is established by vector geometry analysis of process, constructing law from error orthogonal direction, introducing scaling factor to adjust weights, and proving algorithm. The simulation results show that fast has faster speed compared with P-type for both trigonometric cubic curve forms trajectory tracking.

The circulating fluidized bed boiler (CFB) power unit with its energy-saving and environmental protection has broad application prospects, but the problem of CFB automatic control not been solved satisfied, so generation (AGC) can be stabilized input. Through improvement strategy by method intelligent predictive multivariable decoupling optimization parameters, AGC tests achieved approving results in unit.

The air system of a Diesel engine is typical dynamic with multiple inputs and outputs, strong output noise. In this paper, multivariable Adaptive Disturbance Rejection Control (ADRC) algorithm online optimization observation bandwidth proposed for six-cylinder equipped throttle valve actuator (TVA), Exhausted Gas Recirculation (EGR), Variable Geometry Turbocharger (VGT). Firstly, based on the simplified operating principle engine, linear time-varying prediction model three-input three-output...

This paper proposes a novel weight coefficient self-learning expanded state model predictive control (MPC) algorithm for addressing the multi-objective tracking problem in diesel engine equipped with Variable Geometry Turbocharger (VGT), Exhausted Gas Recirculation (EGR), and Throttle Valve Actuator (TVA). The incorporates simplified operating mechanism to establish linear time-varying prediction employs an observer facilitate real-time disturbance observation compensation. In addition,...

The control objects of circulating fluidized bed（CFB） power unit have the features pure delay, large inertia, and serious coupling between variables features, so systems are difficult to put into automatic, especially,coordination system (CCS) needs great effort achieve good effect .A plant uses 1089t / h CFB. According characteristics CFB unit, logic coordinated is modifeid as follows: in order increase reduce first second air flow by adding feed forward volume while changing amount coal,...

Aiming at the control problem of electromech-anical systems with nonlinear, high sampling frequency and strong coupling characteristics, a method based on explicit model prediction is proposed. Firstly, mathematical established three-phase asynchronous electromechanical system. Then, multi-parameter quadratic programming used to calculate optimal rate AC motor system offline, quantity corresponding current state searched online. The experimental simulation results show that this strategy not...