This research’s genesis is in two aspects: first, a guaranteed solution for mitigating the grey wolf optimizer’s (GWO) defect and deficiencies. Second, we provide new open-minding insights and deep views about metaheuristic algorithms. The population-based GWO has been recognized as a popular option for realizing optimal solutions. Despite the popularity, the GWO has structural defects and uncertain performance and has certain limitations when dealing with complex problems such as multimodality and hybrid functions. This paper tries to overhaul the shortcomings of the original process and develops a GWO variant enhanced with a covariance matrix adaptation evolution strategy (CMAES), levy flight mechanism, and orthogonal learning (OL) strategy named GWOCMALOL. The algorithm uses the levy flight mechanism, orthogonal learning strategy, and CMAES to bring more effective exploratory inclinations. We conduct numerical experiments based on various functions in IEEE CEC2014. It is also compared with 10 other algorithms with competitive performances, 7 improved GWO variants, and 11 advanced algorithms. Moreover, for more systematic data analysis, Wilcoxon signed-rank test is used to evaluate the results further. Experimental results show that the GWOCMALOL algorithm is superior to other algorithms in terms of convergence speed and accuracy. The proposed GWO-based version is discretized into a binary tool through the transformation function. We evaluate the performance of the new feature selection method based on 24 UCI data sets.​ Experimental results show that the developed algorithm performs better than the original technique, and the defects are resolved. Besides, we could reach higher classification accuracy and fewer feature selections than other optimization algorithms. A narrative web service at http://aliasgharheidari.com will offer the required data and material about this work.

Orthogonal learning covariance matrix for defects of grey wolf optimizer: Insights, balance, diversity, and feature selection

Virtual target guidance-based distributed model predictive control for formation control of multiple UAVs

Neuroadaptive integral robust control of visual quadrotor for tracking a moving object

The active disturbance rejection control (AD RC), first proposed by Jingqing Han in late 1980s, is a powerful control technology being able to deal with external disturbances and internal uncertainties in large scale for control systems in engineering applications. This survey paper will articulate, from a theoretical perspective, the origin, ideology and progress of ADRC for not only uncertain finite-dimensional systems but also uncertain infinite-dimensional ones. Some recent theoretical developments, general framework and unsolved problems of ADRC for finite-dimensional systems with mismatched disturbances and uncertainties by output feedback, uncertain finite-dimensional stochastic systems, uncertain infinite-dimensional systems described by both the wave equation and the fractional-order partial differential equation are successively addressed, from which we see the challenges and opportunities for this remarkable emerging control technology to various types of control systems.

Review and new theoretical perspectives on active disturbance rejection control for uncertain finite-dimensional and infinite-dimensional systems

CFD analysis of the aerodynamic effects on the stability of the flight of a quadcopter UAV in the proximity of walls and ground

Quadrotor trajectory tracking and obstacle avoidance by chaotic grey wolf optimization-based active disturbance rejection control

Predictor-based model reference adaptive roll and yaw control of a quad-tiltrotor UAV

The invention discloses a composite type multi-mode multi-purpose aircraft, and belongs to the technical field of overall design of aviation flight vehicles. The aircraft comprises a body of a fixed wing aircraft, a driving/autorotation rotor wing system, an expelling aero-engine and a flying control system, wherein the driving/autorotation rotor wing system comprises paddle hubs and paddles; the paddles are hollow, and guide tubes B are communicated with the inner parts of the paddles; an H2O2 catalysis decomposition engine is mounted at the tail end of each paddle; the H2O2 catalysis decomposition engines are connected with the guide tubes; the guide tubes are communicated with guide tubes A; the guide tubes A are connected with an H2O2 storage box. The aircraft disclosed by the invention has the property of vertical/short-distance lifting and suspension, or even can achieve certain back flying and side flying, and can also fly forwards at a high speed; due to adoption of paddle tip air injection driving/autorotation wings, no reaction torque is generated in any mode, and thus a tail rotor as well as a speed reduction transmission and control mechanism of an ordinary helicopter are canceled; the differential thrust for thrusting an aero-engine is adopted to control to achieve steadiness and control in flying direction at a low speed, the waste weight and the energy consumption are reduced, the cost is lowered, the complexity is alleviated, and the flying security in a complex environment is effectively improved.

Composite type multi-mode multi-purpose aircraft

Fast level-flight to hover mode transition and altitude control in tiltrotor’s landing operation

In this paper, we focus on the tricopter (Tri-Rotor UAV), which is a newer type UAV rather than Quad-rotor. Firstly, analyzing of the mechanical structure and three possible rotor configurations of the Tri-rotor are made. Then we choose a type of the three possible rotor configurations which the control performance is the best. Secondly, numerical simulations for nonlinear system of the Tri-rotor UAV should be conducted through the force and kinematic analysis. In order to follow the trend of high-precision and maneuvering flight of the multi-rotor, It used back-stepping control strategy to design the UAV flight attitude controller and got a good effect of realizing maneuvering flight of the tri-rotor.

Ningjun Liu

Papers

Quadrotor trajectory tracking and obstacle avoidance by chaotic grey wolf optimization-based active disturbance rejection control

Predictor-based model reference adaptive roll and yaw control of a quad-tiltrotor UAV

Composite type multi-mode multi-purpose aircraft

Fast level-flight to hover mode transition and altitude control in tiltrotor’s landing operation

Modeling and maneuvering control for tricopter based on the back-stepping method