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High performance interior permanent magnet synchronous machines show nonlinear magnetics due to saturation and cross-coupling. Nonlinear differential equations describe these phenomena and make feedback control challenging. This paper presents a predictive control method to precisely control the dynamics of these machines. Four real-time capable strategies to online identify transient trajectories...
This paper proposes the hypothesis that postural regulation by a quietly standing human can be modeled as the solution to an optimal control problem. The performance measure being minimized is the sum of a quadratic term in the controls and either the center of pressure or the horizontal projection of the center of gravity raised to the fourth power. To test this hypothesis the human body is modeled...
If a Predictive Torque Controller neglects the saliency of a machine the resulting prediction error contains the rotor angle information. A scheme to extract this information is derived in linear theory and extended for the nonlinear effects of a real reluctance synchronous machine. Measurement results confirm that this saliency based approach without signal injection is able to operate in the entire...
The purpose of this paper is to present a new methodology to control current-fed induction motor. This approach results from a combination on the differential flatness properties and the monovariable generalized predictive control with multiple reference model(GPC/MRM) algorithm. Simulation results are given in the case of nominal and mismatched parameters on the complete nonlinear model.
This paper introduces a nonlinear control scheme based on exact feedback linearization (FBL) and predictive concept to control the permanent magnet synchronous motor (PMSM). The principal contribution of this work is the exploitation of discrete state model to generate the predicted trajectories and, the calculation of the Brunovsky form feedback stabilization which correspond to the linear part of...
A series of convex optimal control problems is proposed as mathematical models of human postural control during quiet standing. The human body is modeled as a two-segment inverted pendulum controlled by a joint torque. Several performance criteria that are quartic in the state and quadratic in the control are utilized. The discrete-time approximation to each of these problems is a convex programming...
The modeling and the control of flexible link robots have received a great deal of attention in the last decades due to the wide prospective industrial and space applications of ultra-light and high-speed mechanisms. This paper introduces a general and practical procedure for the design of effective control schemes for the position and vibration control of flexible links mechanisms. In particular,...
This paper presents a cascaded nonlinear predictive control of a permanent magnet synchronous motor (PMSM) drive. The Taylor series expansion is used to carry out the prediction defined on a finite horizon. However, it's well-known that this control strategy cannot remove completely the steady state error under mismatched parameters and load torque. Then, the full knowledge of machine parameters and...
In this study, we purpose a control system of engine torque for a V6 spark ignition engine with a variable valve lift system. We apply a nonlinear receding horizon control to the SICE benchmark problem where we assume that the control inputs are throttle angle, variable valve lift and ignition timing. Moreover, a fuel injection control is also developed by estimating the amount of air in the engine...
This contribution investigates the industrial application of new local model based nonlinear state feedback control schemes. Local model based control algorithms can be divided into two classes - master-slave and non-master-slave control structures. In this work, a control strategy for each of these classes is developed. Merits and demerits of both types of structures are illustrated with the help...
Nonlinear model predictive control (NMPC) has proven successful in many applications, especially in chemical and process engineering where sampling times are usually in the order of seconds or minutes. Combustion engines show highly nonlinear behaviour and require sampling times of few milliseconds which poses a challenging control problem. We aim at tracking a desired torque profile of a gasoline...
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