In this paper, an almost new control approach called terminal synergetic control which works based on user defined manifold is applied to a nonlinear helicopter model. Stability analysis is convestigated using Lyapunov stability theory. Synergetic controller is applied to this nonlinear fifth-order helicopter model to control height and angle. Simulation results showed that it has faster and sm...

this paper presents a novel indirect adaptive power system stabilizer (pss) via a developed synergetic control methodology and fuzzy systems. fuzzy system is utilized in an adaptive scheme to estimate the system using a nonlinear model. the synergetic control guarantees robustness of the controller and makes the controller easy to implement because of using a chatter free continuous control law...

This paper presents a novel indirect adaptive Power System Stabilizer (PSS) via a developed synergetic control methodology and fuzzy systems. Fuzzy system is utilized in an adaptive scheme to estimate the system using a nonlinear model. The synergetic control guarantees robustness of the controller and makes the controller easy to implement because of using a chatter free continuous control law...

— The theory of synergetic control is introduced in a power electronics context in a previous paper. In this paper we review the theory, then we focus on a comparison with the sliding mode approach. Common elements and main differences are underlined and illustrated through a comparative simulation example. The main advantages of synergetic control are that it is well-suited for digital impleme...

Random torque disturbances generated by magnetic bearings eccentric magnetic force have negative effects on the output torque precision of the magnetic suspended reaction flywheel(MSRFW). In order to eliminate the negative effects, dynamic models of flywheel system including motor and the buck DC-DC converter are established and a synergetic control approach for speed mode operation is presente...

the development of regional logistics system is a typical self-adapting and self-organizing evolution process. According to the structures and operation of regional logistics, the self-organizing characteristics of regional logistics synergetic evolution are analyzed. Moreover, the space evolution phases of regional logistics system are educed based on the complex system theory, and the enterpr...

DC-DC converters are widely used as reliable power source for many industrial and military applications, computers and electronic devices. Several control methods were developed for DCDC converters control mostly with asymptotic convergence. Synergetic control (SC) is a proven robust control approach and will be used here in a so called terminal scheme to achieve finite time convergence. Lyapou...

Synergetic neural network (SNN) is a top-down network to explain the phase transition and self-organization in non-equilibrium system. The network parameters have a crucial impact on the recognition performance of synergetic neural network. At present, there is no good way to control and adjust the network parameters. To solve these problems, an improved parameters optimization algorithm based ...

This paper describes a new approach to the synthesis of controllers for power converters based on the theory of synergetic control. The controller synthesis procedure is completely analytical, and is based on fully nonlinear models of the converter. Synergetic controllers provide asymptotic stability with respect to the required operating modes, invariance to load variations, and robustness to ...

Modern Research in Dentistry Bio-Synergetic Ron Carlson* Carlson Bridge Technologies, USA *Corresponding author: Carlson, Inc. Pvt Ltd, Hawaiia, Submission: June 09, 2022;Published: 22, 2022 DOI: 10.31031/MRD.2022.07.000662 ISSN:2637-7764Volume7 Issue2