Multi-rate sensor fusion-based adaptive discrete finite-time synergetic control for flexible-joint mechanical systems

This paper proposes an adaptive discrete finite-time synergetic control （ADFTSC） scheme based on a multi-rate sensor fusion estimator for flexible-joint mechanical systems in the presence of unmeasured states and dynamic uncertainties. Multi-rate sensors are employed to observe the system states which cannot be directly obtained by encoders due to the existence of joint flexibilities. By using an extended Kalman filter （EKF）, the finite-time synergetic controller is designed based on a sensor fusion estimator which estimates states and parameters of the mechanical system with multi-rate measurements. The proposed controller can guarantee the finite-time convergence of tracking errors by the theoretical derivation. Simulation and experimental studies are included to validate the effectiveness of the proposed approach.

Coordination of Synergetic Excitation Controller and SVC Damping Controller Using Particle Swarm Optimization

This paper addresses the enhancement of power system stability by simultaneous tuning of synergetic excitation damping controller and SVC （static var compensator）-based damping controllers. Each machine or generator is considered as a subsystem and its interaction with the remaining part of the system, the SVC inclusive, is modeled as a quadratic function of the active power delivered by the generator. Stable manifold is constructed for each excitation controller and based on that, an effective damping controller is derived. A lead-lag compensator is employed as a supplementary controller for the SVC. PSO （particle swarm optimization） algorithm is effectively utilized to simultaneously tune the parameters for the excitation damping controller（s） and the SVC supplementary controller. The coordination of the controllers effectively dampens the power angle oscillation and regulates the generator terminal voltage when a fault occurs. Simulation results are obtained by using the PAT （power analysis toolbox） for a SMIB （single machine infinite bus） system and a two area power system.

A twin-electrode alternating current to direct current synergetic pulsed arc welding control method

A novel synergetic arc control method was used to control twin-electrode alternating current （ AC） to direct current （DC） pulsed arc welding and the mechanism of poor sidewall fusion in narrow gap welding was investigated. The synergetic arc control method easured that the arc voltage of DC welding source could switch in phase with the AC welding source. To test the reliability and operability of this method, a twin-electrode AC to DC pulsed arc welding system was set up and data was acquired through high-speed photography and electrical signal measurement system. The results show that the interactions between the two arcs can be controlled effectively and the control method is a sensitive and efficient control method.

Fractional synergetic tracking control for robot manipulator

This work takes advantage of synergetic control theory and fractional calculus to develop and propose fractional synergetic control(FSC)strategy for Four Degrees of Freedom(4-DOF)robot manipulator.The proposed fractional synergetic control is designed to track a joint space as well as workspace desired trajectories.Fractional calculus gives more flexibility in the design since it has a wider stability region.Added to that,as stated in the literature,compared to a similar approach such as sliding mode control,the synergetic control approach converges faster to the equilibrium point,without chattering with a fast response.This paper proposes a new control strategy that takes advantage of fractional calculus and synergetic control theory.This proposed control strategy is tested experimentally on a 4-DOF manipulator to study the performance of the proposed control scheme.The stability of the closed-loop system is proved using the Lyapunov approach.The experimental results have shown that the proposed FSC design has achieved a good tracking performance.

Improved Synergetic Current Control for Grid-connected Microgrids and Distributed Generation Systems

This paper presents the development of improved synergetic current control for the injected current of an inverter in the grid-connected microgrid and the distributed generation system(DGS). This paper introduces new formulas of the macro-variable functions for integral synergetic control(SC)and integral fast terminal SC, which both have an integral term to guarantee zero steady-state error. The proposed integral SC and integral fast terminal SC achieve a seamless performance such as the fast convergence, minimal overshoot, zero steady-state error, and chattering-free operation. To demonstrate the meritorious performance of the proposed scheme for injected current control, it is compared with the performance of a proportional-integral(PI) controller and advanced exponential sliding mode control(SMC). Finally, the practicality of the proposed scheme is justified by experimental results obtained through rapid control prototyping(RCP) using the dSPACESCALEXIO platform.