Synergetic Control Theory and Vibro-Mechanics: a Conceptual Relation

Kolesnikov, A. A.

doi:10.17587/mau.16.291-299

Cited by 16 publications

(24 citation statements)

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“…The Synergetic Control (SC) theory is based a state-space theory, which is utilized for the design and control of highly complex and connected nonlinear systems. This control strategy could enable the state variables of the system to evolve on invariant manifolds chosen by the designer and to achieve the required performance in spite of the presence of uncertainties and disturbances [ 24 , 25 ]. The design of nonlinear systems based on synergetic control can follow the following general procedure [ 26 , 27 ]: Forming the extended system of differential equations, which reflects different operations such as achieving the set values, coordinating observing, optimization, suppressing the disturbances etc.…”

Section: Introductionmentioning

confidence: 99%

A New Adaptive Synergetic Control Design for Single Link Robot Arm Actuated by Pneumatic Muscles

Humaidi

Ibraheem

Azar

et al. 2020

Entropy

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This paper suggests a new control design based on the concept of Synergetic Control theory for controlling a one-link robot arm actuated by Pneumatic artificial muscles (PAMs) in opposing bicep/tricep positions. The synergetic control design is first established based on known system parameters. However, in real PAM-actuated systems, the uncertainties are inherited features in their parameters and hence an adaptive synergetic control algorithm is proposed and synthesized for a PAM-actuated robot arm subjected to perturbation in its parameters. The adaptive synergetic laws are developed to estimate the uncertainties and to guarantee the asymptotic stability of the adaptive synergetic controlled PAM-actuated system. The work has also presented an improvement in the performance of proposed synergetic controllers (classical and adaptive) by applying a modern optimization technique based on Particle Swarm Optimization (PSO) to tune their design parameters towards optimal dynamic performance. The effectiveness of the proposed classical and adaptive synergetic controllers has been verified via computer simulation and it has been shown that the adaptive controller could cope with uncertainties and keep the controlled system stable. The proposed optimal Adaptive Synergetic Controller (ASC) has been validated with a previous adaptive controller with the same robot structure and actuation, and it has been shown that the optimal ASC outperforms its opponent in terms of tracking speed and error.

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Section: Introductionmentioning

confidence: 99%

A New Adaptive Synergetic Control Design for Single Link Robot Arm Actuated by Pneumatic Muscles

Humaidi

Ibraheem

Azar

et al. 2020

Entropy

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“…Recall that synergetic control (SC) theory was introduced in general terms by Koleskinov [15]. Its application to a single boost converter was introduced in [16], and some practical aspects with reference to both simulations and actual hardware were discussed in [17], and [18][19].…”

Section: Introductionmentioning

confidence: 99%

Synergetic power optimization control of photovoltaic systems

2017

IJIET

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Abstract-A synergetic control (SC) technique is applied to develop a new maximum power point tracking (MPPT)control strategy for stand-alone photovoltaic (PV) systems through measuring PV array outputs and changing DC/DC converter control signal's duty cycle. The closed loop system stability is guaranteed using Lyapunov's method. This control strategy is simple and robust to irradiance and temperature variations. Simulation results are compared to those obtained using Hill Climbing method and then served to test the control robustness of the developed system. High performances under environmental parameter variations have demonstrated synergetic control usefulness.

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“…Among them are: the method of analytical design of controllers [1], the Pontryagin maximum principle, and Bellman dynamic programming [2,3], and also root finding methods. The disadvantages of these approaches are that they do not take into account changing conditions of the system, changes of the subject, and so forth.…”

Section: Introductionmentioning

confidence: 99%

Synthesis of Multicriteria Controller by Means of Fuzzy Logic Approach

Lozynskyy

Demkiv

2014

Advances in Fuzzy Systems

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A two-mass fuzzy control system is considered. For fuzzification process, classical both linear and nonlinear membership functions are used. To find optimal values of membership function's parameters, genetic algorithm is used. To take into account values of both output and intermediate parameters of the system, a penalty function is considered. Research is conducted for the case of speed control system and displacement control system. Obtained results are compared with the case of the system with classical, crisp controller.

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Synergetic Control Theory and Vibro-Mechanics: a Conceptual Relation

Cited by 16 publications

References 0 publications

A New Adaptive Synergetic Control Design for Single Link Robot Arm Actuated by Pneumatic Muscles

A New Adaptive Synergetic Control Design for Single Link Robot Arm Actuated by Pneumatic Muscles

Synergetic power optimization control of photovoltaic systems

Synthesis of Multicriteria Controller by Means of Fuzzy Logic Approach

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