As a contribution towards improving the environment, a new position controller for vector controlled electric drives employing permanent magnet synchronous motors (PMSM) is presented that achieves approximately 27% less frictional energy loss than a conventional controller adjusted to give the same manoeuvre time for the same initial and final positions. The frictional energy loss minimisation is carried out within the constraint of a velocity-time profile of fixed form to achieve prescribed manoeuvre times for relatively large step reference position changes. Optimal settings of the parameters of the velocity-time profile are made to minimise the energy loss. The control system robustness is achieved through the use of two control techniques, forced dynamic control (FDC) and sliding mode control (SMC), which maintain the velocity-time profile regardless of the mechanical load presented to the motor. The closed loop system automatically enters a linear operational mode with prescribed dynamics as the demanded position is approached, enabling derivative feed forward pre-compensation techniques to eliminate dynamic lag if needed. Vector control is achieved by an FDC direct axis current control loop with zero reference input, assuming a non-salient PMSM. The only information required from the user is the reference position and the required manoeuvre time. For commissioning, no time consuming adjustment of PI controllers is needed in contrast to conventional vector controlled drives. Only the following parametric entries are needed: a) the motor power and voltage ratings, the permanent magnet flux, the number of pole pairs and an estimate of the total moment of inertia presented to the rotor, to calculate the maximum rotor angular acceleration magnitude for which no motor control torque saturation can occur and b) the settling time for the FDC direct axis current control. Since a specified manoeuvre time may be realised, the method is especially suited to applications in which more than one position control loop has to be coordinated. The performance of the new controller and its advantages over a conventional controller adjusted to yield the same settling time are demonstrated by simulations.
[1]
E. P. Ryan,et al.
Optimal Relay and Saturating Control System Synthesis
,
1982
.
[2]
Stephen J. Dodds.
FORCED DYNAMIC CONTROL: A MODEL BASED CONTROL TECHNIQUE ILLUSTRATED BY A ROAD VEHICLE CONTROL APPLICATION
,
2006
.
[3]
Alberto Isidori,et al.
Nonlinear control systems: an introduction (2nd ed.)
,
1989
.
[4]
Stephen J. Dodds.
Observer based robust control
,
2007
.
[5]
Krzysztof Szabat,et al.
Forced Dynamic Control of Electric Drives with Vibration Modes in the Mechanical Load
,
2006,
2006 12th International Power Electronics and Motion Control Conference.
[6]
Vadim I. Utkin,et al.
Sliding Modes in Control and Optimization
,
1992,
Communications and Control Engineering Series.
[7]
Stephen J. Dodds,et al.
SETTLING TIME FORMULAE FOR THE DESIGN OF CONTROL SYSTEMS WITH LINEAR CLOSED LOOP DYNAMICS
,
2008
.
[8]
A. Isidori.
Nonlinear Control Systems
,
1985
.
[9]
L. S. Pontryagin,et al.
Mathematical Theory of Optimal Processes
,
1962
.
[10]
Stephen J. Dodds,et al.
Observer based robust control of a linear motor actuated vacuum air bearing
,
2007
.
[11]
Shugen Ma.
Real-time algorithm for quasi-minimum energy control of robotic manipulators
,
1995,
Proceedings of IECON '95 - 21st Annual Conference on IEEE Industrial Electronics.
[12]
J. Vittek,et al.
Forced dynamics control of electric drives employing pmsm with a flexible coupling
,
2007,
2007 Australasian Universities Power Engineering Conference.