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Benamor, A., Chrifialaui, L., Messaound, H. and Chaabane, M. (2011) Sliding Mode Control, with Integrator, for a Class MIMO Nonlinear Systems. Energy and Power Engineering, 3, 435-444.
https://doi.org/10.4236/eng.2011.35050

has been cited by the following article:

• TITLE: Adaptive Quasi-PID Control Method for Switching Power Amplifiers

  AUTHORS: Xiaoming Sun

  KEYWORDS: Switching Power Amplifier, Quasi-PID Control Method, Single Neuron, Adaptive Control, Protective Relay Test

  JOURNAL NAME: Journal of Power and Energy Engineering, Vol.5 No.2, February 9, 2017

  ABSTRACT: Quasi-PID control method that is able to effectively inhibit the inherent tracking error of PI control method is proposed on the basis of a rounded theoretical analysis of a model of switching power amplifiers (SPAs). To avoid the harmful impacts of the circuit parameter variations and the random disturbances on quasi-PID control method, a single neuron is introduced to endow it with self-adaptability. Quasi-PID control method and the single neuron combine with each other perfectly, and their formation is named as single-neuron adaptive quasi-PID control method. Simulation and experimental results show that single-neuron adaptive quasi-PID control method can accurately track both the predictable and the unpredictable waveforms. Quantitative analysis demonstrates that the accuracy of single-neuron adaptive quasi-PID control method is comparable to that of linear power amplifiers (LPAs) and so can fulfill the requirements of some high-accuracy applications, such as protective relay test. Such accuracy is very difficult to be achieved by many modern control methods for converter controls. Compared with other modern control methods, the programming realization of single-neuron adaptive quasi-PID control method is more suitable for real-time applications and realization on low-end microprocessors for its simple structure and lower computational complexity.