Analysis of the Nonrecursive Advanced Optimal Control of the Permanent Magnet Synchronous Motor Drive

2013 ◽  
Vol 367 ◽  
pp. 194-198 ◽  
Author(s):  
Marian Gaiceanu ◽  
Emil Rosu
Keyword(s):  
Optimal Control ◽  
Permanent Magnet ◽  
Practical Implication ◽  
Permanent Magnet Synchronous Motor ◽  
Variational Calculus ◽  
Synchronous Motor ◽  
Initial Time ◽  
Riccati Differential Equation ◽  
The Matrix ◽  
On Line

The paper aims to underline the importance of applying complete optimal control to electric drives, in particular to Permanent Magnet Synchronous Motor (PMSM). The proposed optimal control has three components: the feedback componentassures energy minimization; the forcing component assures the zero steady state; the feedforward compensating component assures fast compensation of the disturbance. The methodology of obtaining this type of the advanced optimal control is based on variational calculus. The solution is a nonrecursive one, avoiding memorizing it from the final time to the initial time, as in the recursive case. Moreover, the solution is orientated to numerical implementation by using a zero order hold in order to solve adequately the matrix Riccati differential equation (MRDE). The practical implication of using the proposed method is the on-line computing possibility of the optimal control solution. The influences of the control weighted matrix upon the manipulated variable of the PMSM electric drive are shown by numerical simulation.

A Complete Optimal Control Solution for Permanent Magnet Synchronous Motors

2012 ◽  
Vol 260-261 ◽  
pp. 449-453
Author(s):  
Marian Gaiceanu ◽  
Emil Rosu
Keyword(s):  
Optimal Control ◽  
Permanent Magnet ◽  
Control Strategy ◽  
Permanent Magnet Synchronous Motor ◽  
Voltage Control Strategy ◽  
Optimal Control Strategy ◽  
Load Torque ◽  
Permanent Magnet Synchronous Motors ◽  
Riccati Differential Equation ◽  
The Matrix

In this paper a voltage control strategy based on the optimal control theory, for isotropic rotor permanent magnet synchronous motor (PMSM) drives, is proposed. The complete optimal control of the three phase permanent magnet synchronous machine (PMSM) consists of three components: the state feedback, the feed forward compensation of the load torque and the reference to achieve the desired state. The control assures a smooth dynamic response, in order to achieve the desired state in steady state, the fast compensation of the load torque, and the energy minimization. The obtained solution by integrating the matrix Riccati differential equation (MRDE) is orientated towards the numerical implementation (by using a zero order hold) and it is computed on-line. The optimal control strategy is applied to PMSM drives and verified by simulations.

A computationally efficient torque and flux ripple reduction by active vector optimization approach using direct torque control–based model predictive torque control for matrix converter–fed permanent magnet synchronous motor

2022 ◽  
pp. 014233122110688
Author(s):  
JD Anunciya ◽  
Arumugam Sivaprakasam
Keyword(s):  
Permanent Magnet ◽  
Real Time ◽  
Permanent Magnet Synchronous Motor ◽  
Direct Torque Control ◽  
Synchronous Motor ◽  
Matrix Converter ◽  
Torque Control ◽  
Optimization Approach ◽  
The Real ◽  
The Matrix

The Matrix Converter–fed Finite Control Set–Model Predictive Control is an efficient drive control approach that exhibits numerous advantageous features. However, it is computationally expensive as it employs all the available matrix converter voltage vectors for the prediction and estimation. The computational complexity increases further with respect to the inclusion of additional control objectives in the cost function which degrades the potentiality of this technique. This paper proposes two computationally effective switching tables for simplifying the calculation process and optimizing the matrix converter active prediction vectors. Here, three prediction active vectors are selected out of 18 vectors by considering the torque and flux errors of the permanent magnet synchronous motor. In addition, the voltage vector location segments are modified into 12 sectors to boost the torque dynamic control. The performance superiority of the proposed concept is analyzed using the MATLAB/Simulink software and the real-time validation is conducted by implementing in the real-time OPAL-RT lab setup.

On-Line Parameter Identification and Active Disturbance Rejection Control of Permanent Magnet Synchronous Motor

2012 ◽  
Vol 588-589 ◽  
pp. 479-483
Author(s):  
Song Wang ◽  
Guang Da Li
Keyword(s):  
Parameter Identification ◽  
Permanent Magnet ◽  
Disturbance Rejection ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Least Square ◽  
Active Disturbance Rejection Control ◽  
Active Disturbance Rejection ◽  
Disturbance Rejection Control ◽  
On Line

A new method named Windowed Least Square (WLS) to test main parameters of Permanent Magnet Synchronous Motor (PMSM) is proposed in this paper. Compared with Extended Kalman Filter (EKF) & Elman neural network and Recursive Least Square (RLS), WLS guarantees identification accuracy and excellent timeliness, and the issue of data saturation of RLS can be avoided. The PMSM model is built combining on-line parameter identification with Active Disturbance Rejection Control (ADRC) to improve the control performance of PMSM. The simulation results demonstrate that the performance of ADRC system using online estimation strategy is better than that of the system using PID method.

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