Current Issue : July - September Volume : 2020 Issue Number : 3 Articles : 5 Articles
This article introduces voltage feedback controlling using the PI controller tuned gains by metaheuristic optimizations for a fourphase\ninterleaved boost converter. The metaheuristic optimizations, particle swarm optimization (PSO), genetic algorithm (GA), and\nTabu search (TS) are applied to find the optimal gains for the proposed control system. In experiment, the designed control system is\nimplemented on the DSP board TMS320F28335 with MATLAB/Simulink. In this paper, there are two conditions of the control\nsystem in the test, without load and with load. The response result of the proposed control system tuned gains by PSO is no overshoot\nand approaches to the steady state better than GA and TS methods. Moreover, it is able to maintain the output voltage feedback at a\nconstant level according to the control signal both without load and with load conditions. As a result, the four-phase interleaved boost\nconverter is regulated by the PI controller tuned gains with PSO which could efficiently maintain the voltage of both levels....
This paper investigates the distributed adaptive neural consensus tracking control for multiple Euler-Lagrange systems with\nparameter uncertainties and unknown control directions. Motivated by the Nussbaum-type function and command-filtered\nbackstepping technique, the error compensations and neural network approximation-based adaptive laws are established, which\ncan not only overcome the computation complexity problem of backstepping but also make the consensus tracking errors reach to\nthe desired region although the control directions and system nonlinear dynamics are both unknown. Numerical example is given\nto show the proposed algorithm is effective at last....
The application of Fractional Calculus to control mechatronic devices is a promising \nresearch area. ..........................
The magnetorheological elastomer (MRE) is a kind of smart material, which is often processed as vibration isolation and\nmitigation devices to realize the vibration control of the controlled system. The key to the effective isolation of vibration and shock\nabsorption is how to accurately and in real time determine the magnitude of the applied magnetic field according to the motion\nstate of the controlled system. In this paper, an optimal fuzzy fractional-order PID (OFFO-PID) algorithm is proposed to realize\nthe vibration isolation and mitigation control of the precision platform with MRE devices. In the algorithm, the particle swarm\noptimization algorithm is used to optimize initial values of the fractional-order PID controller, and the fuzzy algorithm is used to\nupdate parameters of the fractional-order PID controller in real time, and the fractional-order PID controller is used to produce\nthe control currents of the MRE devices. Numerical analysis for a platform with the MRE device is carried out to validate the\neffectiveness of the algorithm. Results show that the OFFO-PID algorithm can effectively reduce the dynamic responses of the\nprecision platform system. Also, compared with the fuzzy fractional-order PID algorithm and the traditional PID algorithm, the\nOFFO-PID algorithm is better....
An intelligent rolling contact fatigue test equipment is developed, and the control methods are presented. For obtaining the slip\naccurately, the control method based on master-slave synchronization is proposed. For controlling the loads in high precision, the\ncontrol method took into consideration the influence by two factors, displacement and the load. The nonlinear interference and\nexcess torque in load control are effectively suppressed.....................
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