Dipankar Deb

An adaptive inverse control scheme for a synthetic jet actuator model

In this paper, we develop an adaptive inverse compensation scheme for controlling the aerodynamic flow of a synthetic jet actuator on a dynamic aircraft system. An adaptive inverse is employed for cancelling the effect of the nonlinearity of the synthetic jet. A linear state feedback control law is used for controlling the aircraft dynamics. A linearly parametrized error model is derived for the nonlinear actuator model. A parameter projection adaptive law is used to ensure desired closed-loop stability and asymptotic tracking. An application of this adaptive compensation scheme to the control of a linear aircraft model with a synthetic jet actuator is studied and its effectiveness is verified by simulation results.

Adaptive Synthetic Jet Actuator Compensation for A Nonlinear Aircraft Model at Low Angles of Attack

A new technology for the control of next-generation airplanes using virtual wing shaping with synthetic jet actuators is presented. In this approach, an array of actuators is used to modify the aerodynamic performance of a wing and mimic control surface deflections. In the model, the control effect is represented with a nonlinear, parameterized model, derived from experimental data. An adaptive compensation scheme for the implementation of such actuator arrays on a nonlinear tailless aircraft model at low angles of attack has been developed. Adaptive inverse arrays (set of adaptive inverse models of the actuators) are employed for cancelling the effect of the jet nonlinearities. A nonlinear state feedback control law is designed, wherein a set of intermediate states are used as controls for other aircraft states. Parameter projection-based adaptive laws are used to ensure desired closed-loop stability.

Adaptive Compensation Control of Synthetic Jet Actuator Arrays for Airfoil Virtual Shaping

In this paper, a new technology for control of next generation airplanes with virtual aerodynamic wing shaping using synthetic jet actuators is presented. The synthetic jets modify the local flow using a voltage driven vibrating diaphragm. The actuator array outputs are controlled by modulating the peak-to-peak amplitude of the input voltage. Nonlinear parameterized models of synthetic jet actuators whose parameters are chosen from a baseline model are presented. Adaptive inverse arrays are employed for canceling the effect of the jet nonlinearities. A state feedback control law is used for controlling aircraft dynamics. Parameter projection-based adaptive laws are used to ensure desired closed-loop stability and asymptotic tracking. An adaptive inverse scheme that is robust to modeling errors and parametric uncertainties of the synthetic jets is also presented.

Adaptive synthetic jet actuator compensation for a nonlinear tailless aircraft model at low angles of attack

In this paper, we develop an adaptive compensation scheme for aerodynamic flow control of synthetic jet actuator arrays on a nonlinear tailless aircraft model at low angles of attack. Adaptive inverse is employed for cancelling the effect of the jet nonlinearities. A nonlinear state feedback control law is designed for controlling the aircraft dynamics, wherein a set of intermediate states are used as control signals for other states of the aircraft. A meaningful allocation of control signals is also proposed. Parameter projection based adaptive laws are used to ensure desired closed-loop stability and asymptotic tracking

An Adaptive Inverse Control Scheme for Synthetic Jet Actuator Arrays

An adaptive inverse compensation scheme is developed to control the aerodynamic flow of six arrays of synthetic jet actuators distributed on the airfoil symmetrically about the longitudinal axis. Each array of synthetic jet flows result from a piezo-electric voltage driven vibrating diaphragm. The actuator array outputs are controlled by modulating the peak-to-peak amplitude of the input voltage. Nonlinear parametrized models of synthetic jet actuators whose parameters are chosen from a baseline model are presented. Adaptive inverse arrays are employed for cancelling the effect of the nonlinearities of the synthetic jets. An expression for control error is derived such that adaptive laws can be formulated. A state feedback control law is used for controlling known and unknown linear aircraft dynamics. Parameter projection based adaptive laws are used to ensure desired closedloop stability and asymptotic tracking.

A novel three-band orthogonal wavelet filter bank method for an automated identification of alcoholic EEG signals

Alcoholism is a critical disorder related to the central nervous system, caused due to repeated and excessive consumption of alcohol. The electroencephalogram (EEG) signals are used to depict brain activities. It can also be employed for diagnosis of subjects consuming excessive alcohol. In this study, we have developed an automated system for the classification of alcoholic and normal EEG signals using a recently designed duration-bandwidth product (DBP), optimized three-band orthogonal wavelet filter bank (TBOWFB), and log-energy (LE). First, we obtain sub-bands (SBs) of EEG signals using the TBOWFB. Then, we use logarithms of the energies of the SBs as the discriminating features which are fed to the least square support vector machine (LS-SVM) for the discrimination of normal and alcoholic EEG signals. We have achieved a classification accuracy (CA) of 97.08%, with ten-fold cross validation strategy. The proposed model presents a promising performance, and therefore it can be used in a practical setup to assist the medical professionals in the diagnosis of alcoholism using EEG signals automatically.

An adaptive inverse compensation scheme for signal-dependent actuator nonlinearities

In this paper, a unified adaptive compensation scheme for controlling signal-dependent actuator nonlinearities in a class of nonlinear system is presented. Approximation of a nonlinearly parametrized actuator model by a linearly parametrized function is performed. Adaptive inversion of actuator nonlinearities for the linearly approximated model is performed by adopting another approximator in the feedforward path. A nonlinear state feedback control law is designed for controlling the nonlinear dynamics. Parameter projection based adaptive laws are used to ensure desired closed-loop stability.

Modeling and multivariable adaptive control of aircraft with synthetic jet actuators

In this paper, modeling and adaptive control of aircraft with synthetic jet actuators are studied. Linearized models of aircraft with synthetic jet actuators are first studied for healthy and ineffective actuators. It is shown that with loss of actuator effectiveness, independently adjustable control effectors have to be involved, and dynamic coupling is inevitable. With a specified equilibrium trajectory, parameters of aircraft models, including the dynamic coupling terms, vary continuously with time. As a demonstration of possible control techniques for such control problems, a multivariable direct adaptive control scheme is developed for such aircraft systems with some chosen operation conditions. For each operation condition, a reference system is constructed and will be switched to when under the corresponding operation condition. Such a control scheme ensures closed-loop stability and asymptotic tracking for the considered system. The robustness of such an adaptive control scheme against continuous parameter variations is also analyzed, and closed-loop stability can be guaranteed with robust adaptation.

Blood glucose regulation in type 1 diabetic patients: an adaptive parametric compensation control-based approach

Here, a direct adaptive control strategy with parametric compensation is adopted for an uncertain non-linear model representing blood glucose regulation in type 1 diabetes mellitus patients. The uncertain parameters of the model are updated by appropriate design of adaptation laws using the Lyapunov method. The closed-loop response of the plasma glucose concentration as well as external insulin infusion rate is analysed for a wide range of variation of the model parameters through extensive simulation studies. The result indicates that the proposed adaptive control scheme avoids severe hypoglycaemia and gives satisfactory performance under parametric uncertainty highlighting its ability to address the issue of inter-patient variability.

Automated cleaning of wind turbine blades with no downtime

Several factors affect the power generation efficiency of wind energy extracted from wind turbines. One of them is dust accumulation resulting in roughness of the blade surface and resulting in power loss. To overcome this problem, wind turbine blades need to be cleaned frequently. There are some existing techniques of cleaning but not very efficient and economically viable. In this paper, we have analyzed and discussed, an algorithm for fully automated wind turbine blade cleaning system with no downtime and thereby more economically efficient even over the semi-automated blade cleaning solutions available in literature. The proposed solution also does not use water jets unlike other existing solutions.