This paper presents a new efficient approach for performing linearization of Simulink R © models. It improves the efficiency of existing linearization algorithms using a Jacobian graph, a graph-based data structure that captures the linear relationship between input, output and state variables. The graphbased algorithm enables the use of graph transformations to reduce the size of the Jacobian ...

This paper works on the concept of flatness and its practical application for the design of an optimal transient controller in a synchronous machine. The feedback linearization scheme of interest requires the generation of a flat output from which the feedback control law can easily be designed. Thus the computation of the flat output for reduced order model of the synchronous machine with simp...

Syntactic linearization algorithms take a bag of input words and a set of optional constraints, and construct an output sentence and its syntactic derivation simultaneously. The search problem is NP-hard, and the current best results are achieved by bottom-up bestfirst search. One drawback of the method is low efficiency; and there is no theoretical guarantee that a full sentence can be found w...

This is the second part of a paper, divided in two parts, dealing with the application of the input–output feedback linearization (FL) control technique to linear induction motors (LIMs). The first part has treated the theoretical formulation of the input–output feedback linearization control technique as to be applied to linear induction motors. This second part describes the set of tests, bot...

To solve the problems of torque ripple and inconstant switch frequency of inverter in the conventional direct torque control (DTC), a novel DTC method using space vector modulation (SVM) is proposed based on input– output feedback linearization technique, where hysteresis controller is substituted by input–output feedback linearization and switch table is substituted by SVM. In order to preserv...

In this paper, robust control design is presented for a general class of uncertain non-affine nonlinear systems. The design employs feedback linearization, coupled with two high-gain observers— the first to estimate the feedback linearization error based on the full state information; the second to estimate the unmeasured states of the system when only the system output is available for feedbac...

The complete control design for a permanent magnet synchronous (PMAC) motor, derived from the input-output linearization, is presented in the paper. The motor model, written in the rotor’s d-q coordinates, is nonlinear with respect to the state variables and linear in the control. The input-output linearization makes it possible to write the motor’s model in Brunovski decoupled canonical form w...

New linearization technique that reduces the thirdand fifth-order intermodulation products is proposed in this paper. It suggests the injection of second harmonics (IM2) at the amplifier input whereas the IM2 signals and fourth-order nonlinear signals (IM2+IM4) are fed into the amplifier output. The reduction of the thirdand fifth-order intermodulation products has been achieved by applying a n...

Multi-motor synchronous system is a multi-input multi-output, nonlinear and high coupling control system. The neural network generalized inverse system can realize the linearization and decoupling of the nonlinear control. Local minima, irrationality learning rate and over learning easily occur in traditional feedforward neural networks. To overcome the problems, it put forward a single hidden-...

Constructive coordinate transformation problem of nonlinear systems into a particular state-affine systems and the analysis of their equivalence, is here tackled. The proposed method is based on the analysis of the Input/Output Differential Equation structure of these nonlinear systems. The polynomial structure of their corresponding state-affine system is then explicitly given and new necessar...