Internal model control for wastewater ph neutralization process

Alina, Baiesu; Cărbureanu, Mădălina

doi:10.1109/ecai.2016.7861072

Cited by 5 publications

(1 citation statement)

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“…The model of outer loop control system, which is universal and contains no uncertainty, depicts the kinematic relationship between Euler angel and angular velocity. Thus the IMC method, which was hardly used in fixed-wing UAV application but widely in other fields [18] [19] [20], is used to design outer loop Euler angle control law. IMC based controller is featured with less tuning parameters and simple tuning process, for example, only one parameter needs to be tuned for each channel of the roll, pitch, and yaw Euler angles.…”

Section: Introductionmentioning

confidence: 99%

A Data-Driven Adaptive Method for Attitude Control of Fixed-Wing Unmanned Aerial Vehicles

Chen¹,

Wang²

2019

AAST

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In this paper, a real-time online data-driven adaptive method is developed to deal with uncertainties such as high nonlinearity, strong coupling, parameter perturbation and external disturbances in attitude control of fixed-wing unmanned aerial vehicles (UAVs). Firstly, a model-free adaptive control (MFAC) method requiring only input/output (I/O) data and no model information is adopted for control scheme design of angular velocity subsystem which contains all model information and up-mentioned uncertainties. Secondly, the internal model control (IMC) method featured with less tuning parameters and convenient tuning process is adopted for control scheme design of the certain Euler angle subsystem. Simulation results show that, the method developed is obviously superior to the cascade PID (CPID) method and the nonlinear dynamic inversion (NDI) method. KeywordsData-Driven, Adaptive Method, Attitude Control, Unmanned Aerial Vehicles (UAV), Internal Model Control linearization method [5] [6] and nonlinear dynamic inversion method [7] [8].For some other methods, perturbation within a small range is allowed [9] [10] or

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Section: Introductionmentioning

confidence: 99%