In this paper, the uncertain dynamic parameters of an experimental target tracker robot are identified through the application of genetic algorithm. The considered serial robot is a two-degree-of-freedom dynamic system with two revolute joints in which damping coefficients and inertia terms are uncertain. First, dynamic equations governing the robot system are extracted and then, simulated nume...

Abstract As the penetration rate of wind power generation gradually increases in most grids, it is necessary to evaluate farms’ inertia provide information for electric grids and boost grid stability. This paper firstly models control mode overspeed shedding, which can realize under operation different blade tip speed ratios, so that turbine has a high support capability. Then energy change pro...

In this paper, we study the impact of institutional inertia on the implementation of market-oriented reform programs. We examine the problem of a government who can introduce efficiency-enhancing reforms to increase the rate of economic growth by inducing, via monetary compensations, low productivity workers to exit the sector. In our baseline scenario without institutional inertia, efficiency ...

The equation of the density field of an assembly of macroscopic particles advected by a hydro-dynamic flow is derived from the microscopic description of the system. This equation allows one to recognize the role and the relative importance of the different microscopic processes implicit in the model: the driving of the external flow, the inertia of the particles, and the collisions among them....

This paper presents a novel improved fuzzy particle swarm optimization (IFPSO) algorithm to the intelligent identification and control of a dynamic system. The proposed algorithm estimates optimally the parameters of system and controller by minimizing the mean of squared errors. The particle swarm optimization is enhanced intelligently by using a fuzzy inertia weight to rationally balance the ...

Abstract A robust internal force-based impedance control scheme for coordinating manipulators is introduced. Internal forcebased impedance control enforces a relationship between the velocity of each manipulator and the internal force on the manipulated objects and requires no knowledge of the object dynamic model. Each manipulator's nonlinear dynamics is compensated by a robust auxiliary contr...

A means was developed for extending the predictive capability of the Equivalent SingleTube Model (ESTM) to accurately predict the onset of a self-sustained oscillatory flow instability for a multitube condensing flow system. The model includes the effects of compressibility, subcooled liquid inertia, and thermal and flow distribution asymmetry. Previously, liquid inertia, a necessary mechanism ...

Abstract As the world strives toward meeting Paris agreement target of zero carbon emission by 2050, more renewable energy generators are now being integrated into grid, this in turn is responsible for frequency instability challenges experienced new grid. The associated with modern power grid identified research. In addition, a review on virtual inertial control strategies, inertia estimation ...

An adaptive sliding mode controller (ASMC) based on characteristic model is designed to overcome the detrimental effect of large inertia ratio and large-range varying inertia in high accuracy servo systems. The servo system discrete characteristic model is established and adopted for the controller designed instead of using the traditional mechanism model. The recursive least square (RLS) algor...