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Load frequency control (LFC) issue has been one of the major subjects in electric power system operation and design. Nowadays, it is becoming much more significant in accordance to increasing size, changing structure and complexity of interconnected power systems. In this paper, a new decentralized self-tuning pole placement control technique is proposed as an appropriate strategy for load frequency...
Ultrasonic piezoelectric motor technology is an important system component in integrated mechatronics devices working on extreme operating conditions. Due to these constraints, robustness and performance of the control interfaces should be taken into account in the motor design. In this paper, we propose an architecture for a fault tolerant control using Youla parameterization for an ultrasonic piezoelectric...
A new algorithm for PID controller automatic tuning and adaptation is suggested, based on real plant characteristics instead of analytical expressions. The best PID parameters are found by numerical analysis and optimization. This method does not use any simplification that is normally used for parametric identification in common PID controllers with autotuning. The feasibility of the method has been...
This paper considers the design of robust LMI-based controllers for a wind turbine along its entire nominal operating trajectory. The proposed robust controller design takes into account parametric uncertainties in the model using a structured uncertainty description, which makes the controllers less conservative than controllers designed using unstructured uncertainty descriptions. The LMI-based...
A mathematical model for tumor anti-angiogenesis that was formulated and biologically validated by Hahnfeldt et al. is considered as an optimal control problem. In earlier research, the optimal scheduling of anti-angiogenic agents has been analyzed under the simplifying assumption that dosage and concentration were identified. In this case, there exists an optimal singular arc of order 1 that forms...
Adaptive observer design procedure is proposed for nonlinear locally Lipschitz systems. Possible presence of disturbances is taken into account. The solution is based on logic-based control approach applicable to nonlinear systems with bounded solutions. Efficacy of the proposed observer is demonstrated by computer simulation for a mechanical oscillating system.
Control of systems with time-varying dynamical characteristics impose either a conservative time-invariant control strategy that should hold for all time instants or to adopt some adaptive scheme. One of such, called simple adaptive control, is particularly appropriate for control applications such as flexible aircrafts or other fast varying processes. Indeed, it does not need any real-time estimation...
The paper treats a question of adaptive proportional-integral (PI) and adaptive proportional-integral-derivative (PID) controller design for nonlinear systems as well as the design of a universal adaptive controller which is an extension of the adaptive PI (PID) control scheme. The presented design methodology guarantees desired output transient performance indices by inducing of two-time-scale motions...
This paper deals with adaptive trajectory tracking for discrete-time MIMO nonlinear systems. A high order neural network (HONN) is used to approximate a decentralized control law designed by the backstepping technique as applied to a block strict feedback form (BSFF). The HONN learning is performed online by an Extended Kalman Filter (EKF) algorithm. The proposed scheme is implemented in real-time...
An active flutter suppression using linear saturated control is investigated for a 2dof wing section with nonlinear torsional stiffness and limited deflection amplitude of its single actuator. The local suppression of limit cycle oscillations in the nonlinear closed-loop system is achieved through maximization of the stability region of its linearized counterpart and following numerical bifurcation...
In this paper the vibration attenuation problem in automotive suspension systems is presented. A robust active vibration control strategy based on sliding mode and Generalized Proportional Integral Control techniques is proposed as a solution alternative of this problem. This active vibration control scheme only requires position measurements of the wheel and car body. Integral reconstruction of state...
The gating and riser design plays an important role in the quality and cost of a metal casting. Due to the lack of existing theoretical procedures to follow, the design process is normally carried out on a trial-and-error basis. In this paper, the casting design is first formulated as a multi-objective optimization problem with conflicting objectives and a complex search space. An optimization method...
The mechanical torque of a wind turbine is modeled from a friction phenomenon perspective. Two models for the torque generated are proposed based on a relative speed between the wind and turbine blades. The main advantage of these models is the possibility of using real-time standard identification techniques for recovering their parameters value. Models are compared with a heuristic reference model...
Vehicular traffic congestion remains one of the major world-wide sources of productivity and efficiency loss, wasteful energy consumption, and avoidable air pollution. For example it is estimated that in 2007, congestion caused urban Americans to travel an additional 4.2 billion hours and to purchase an extra 2.9 billion gallons of fuel. In this talk I will describe a set of modeling and simulation...
In this paper, we study a consensus problem for multi-agent systems via dynamic output feedback control. The entire system is decentralized in the sense that each agent can only obtain output information from its neighbor agents. In contrast to the existing graph Laplacian based algorithm, we propose to reduce the consensus problem on hand to solving a strict matrix inequality using appropriate coordinate...
A mathematical model for tumor anti-angiogenesis formulated by Ergun et al. [9] is considered as an optimal control problem with the aim of maximizing the tumor reduction achievable with an a priori given amount of anti-angiogenic agents. Optimal controls contain a segment along which the dosage follows a time-varying feedback control. With current medical technologies such a design is not realistic...
Recently, an alternative to the standard passive zero gravity emulation testbeds is developed which uses robotic technology. It is comprised of a manipulator whose end-effector rigidly grasps a satellite mock up, a six-axis force/moment (F/M) sensor placed at the interface of the satellite and the manipulator, and a control system. Despite significant advantages of the approach there exist practical...
This paper presents an online learning scheme to train a cellular neural network (CNN) which can be used to model multidimensional systems whose dynamics are governed by partial differential equations (PDE). Most of the existing works in the literature employ fixed parameters which in turn implies an exact knowledge about the underlying PDE and/or its parameters. Moreover, there is a lack of a fast,...
In this paper a novel method for planning point-to-point robot trajectories will be introduced. With the new method, the requirement of an optimal path and the need of a slim motion due to the lack of free space can be compromised. The generated slim motion is suitable for applications where human-robot cooperation takes place and the workspace is considered to be constrained. This new method is based...
This paper proposes a fuzzy classification system for the risk of infestation by weeds in agricultural zones considering the variability of weeds. The inputs of the system are features of the infestation extracted from estimated maps by kriging for the weed seed production and weed coverage, and from the competitiveness, inferred from narrow and broad-leaved weeds. Furthermore, a Bayesian network...
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