Investigation of Model Reference Parameter Adaptive SRM Drives

Nowadays switched re luctance motor (SRM) drives have been widely used in the field of controlled electric motor drives. The paper proposes a m odel reference adaptive control method for SRM drives. The main goal of the drive control is to improve dynamical performance by compensating for the motor nonlinearities. The r ipple free operation can be realize only w ith an current waveform depending on the angle, speed and torque. The proposed ripple reduced meth od changes only the turn-on and the turn-off angle in functio n of the speed and current reference. One of the advantages of using the ripple –reduced method that it does not need the real-time calculation or measuring the motor torque. So it can be implemented on a cheap microcontroller. The test of this control method was performed in an experimental d rive system. A SRM of 6/8 pole and 4 kW rated power was used. Simulation and experimental results are presented

Adaptive Ripple Reduced Control of SRM Drives

Nowadays s witched reluctance m o to r (SRM) drives h ave been w idel y used i n t h e fi el d of c ont rol l e d el ect ri c m o t o r dri v es. The paper proposes a m odel reference adapt i v e cont rol m e t hod for SR M dri v es. The m a i n goal of t he d r iv e co n t ro l is t o i m prove dy n am i cal perform ance by com pensat i ng for t h e m o t o r non lin earities. Th e ripple free operation can b e rea lize only with a n current w avef orm dependi ng on t h e angl e, s peed a nd t o rque. The proposed r i ppl e reduced m et hod c hanges onl y t h e t u rn-on and t h e t u rn-off angl e i n f unct i on of t he s peed a nd cur rent r eference. O ne of t he a dvant ages o f usi ng t h e ri ppl e reduced m et hod t h at i t do es not n eed t he r eal- tim e calcu latio n o r m easu r in g th e m o to r to rq u e . So it can b e im pl em ent e d on a cheap m i c rocont rol l e r. T he t est of t hi s cont rol m e t hod was perf orm e d i n a n experi m e nt al d ri ve s y s t e m . A S R M o f 6/ 8 pol e and 4 kW r at ed pow er w as u sed. Si m u l a t i on and experi m e nt al resul t s are present ed

Investigation of adaptive PDF speed control for motion control

This paper proposes two model reference adaptive PF (PDF) spee d control methods for servo drives. Following from the structure (PF-type) of model r eference parameter adaptive control was developed to provide constant loop gain in speed control lo op with changing gain (moment of inertia and/or torque factor) it makes it easier to reach overs hootless as well as fast speed changing compensation caused by jump in load. The algorithm even keeps i ts stability at fast changing, jump- like load torque. Model reference signal adaptive control is us ed to provide constant loop gain in speed control loop with changing parameters exposed to a signif icant load. The approaching block diagram of the adaptive control can be seen as an extended vers ion of the PF controller, so one of the adaptation factors (which is the free parameter of the adaptive control) is given. Both model reference adaptive controls dra wn up can be easily implemented because the adaptation algorithms do not need acceleration measuring (thanks to the first-order m odel). Simulation and experimental results demonstrate that the proposed methods are promising too ls to speed control of electrical drives

Adaptive PF (PDF) Speed Control for Servo Drives

This paper proposes two model reference adaptive PF (PDF) speed control methods for servo drives. Following from the structure (PF‐type) of model reference parameter adaptive control was developed to provide constant loop gain in speed control loop with changing gain (moment of inertia and/or torque factor) which makes it easier to reach nonovershooting step response as well as fast speed changing compensation caused by jump in load. The algorithm even keeps its stability at fast changing, jump‐like load torque. Model reference signal adaptive control is used to provide constant loop gain in speed control loop with changing parameters exposed to a significant load. The block diagram of the adaptive control can be seen as an extended version of the PF controller, so one of the adaptation factors (which is the free parameter of the adaptive control) is given. Both model reference adaptive controls drawn up can be easily implemented because the adaptation algorithms do not need acceleration measuring (thanks to the first‐order model). Simulation and experimental results demonstrate that the proposed methods are promising tools for speed control of electrical drives

Convergence Test of of Model Reference Parameter Adaptive SRM Drives

Nowadays switched reluctance motor (SRM) drives have been widel y used in the field of controlled electric motor drives. The paper proposes a model reference par ameter adaptive control method for SRM drives. The main goal of the drive control is to improve dynami cal performance by compensating for the motor nonlinearities. The adaptation practically works only in a relatively narrow speed error track (adaptation range) which is equa l to approximately 20-100 revol ution/min absolute value of speed error. The drawback of this limitation is the relatively short time fo r the algorithm to operate. But the convergence of the algorithm is extremely fast which significan tly reduces the effect of this drawback. Two more important advantages emerge when adaptation works only with small speed errors. First of all the controller at changing drive parameters adapts to parameter s around the value specified by speed reference signal which also assists to speed the adaptation. Th e other significant positive effect is the disappearing of the problem coming from nonlinear systems that the response of the system can even differ in its character when the value, amplitude of the refere nce signal is changed. The convergence test of this control method was performed in an experimental drive s ystem. A SRM of 6/8 pole and 4 kW rated power was used. Simulation and e xperimental results are present ed

Model Reference Adaptive Control of SRM Drives

The paper proposes a m odel reference adaptive control m e thod fo r SRM drives. T he m ain goal of t he drive control is t o im prove d y n am ical p erform ance by c om pensati ng for the m o tor nonlinearities. T he proposed r ipple reduced m ethod changes only the turn-on and the t urn-off angle in f unction of t he speed a nd current r eference. O ne o ff the advantages of u sing th is m ethod that it do es not need the real- tim e calculation or m easuring the m o tor torque. Sim ulation and experim e ntal results are presented

Adaptive PF Speed Control of SRM Drives

This paper proposes two model reference adaptive PF speed control m ethods for SRM drives. Following from the structure of model reference parameter adaptive PF control it makes it easier to reach overshootless as well as fast speed changing compensation caused by jump in load. The approaching block diagram of the model reference signal adaptive contr ol can be seen as an extended version of the PF controller, so one of the adaptation factors (which is the free parameter of the adaptive control) is given. Both model reference adaptive controls drawn up can be easily implemented because the adaptation algorithms do not need acceleration measuring

MODEL REFERENCE ADAPTIVE CONTROL OF RIPPLE REDUCED SRM DRIVES

The paper proposes a model reference adaptive control method for SRM drives. The main goal of the drive control is to improve dynamical performance by compensating for the motor nonlinearities. The proposed ripple reduced method changes only the turn-on and the turn-off angle in function of the speed and current reference. One of the advantages of using this method is that it does not need the real-time calculation or measuring the motor torque. Simulation and experimental results are presented