Application of H infinity control to motor speed control system

Takano, Makoto; Kurotani, K.; Takeda, Keisuke; Tanisaka, A.; Kusumoto, Shimpei; Yano, Koji

doi:10.1109/iecon.1991.239180

Cited by 5 publications

(2 citation statements)

References 2 publications

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“…The latter report concluded that fuzzy logic performs better than PID controllers, but they require several fuzzy algorithm rules, which are not easy to conceive. There have been many other control strategies for the speed control of DC motors, for example, the well-known sliding mode control theory was used in [5], the H ∞ -robust control was invoked in [6], the adaptive control point of view was conceived in [7], and machine learning techniques were used in [8]. Whatever the strategy, the implementation of nonlinear controllers requires the programming of complex mathematical formulas.…”

Section: Introductionmentioning

confidence: 99%

Predictive Speed Control of a DC Universal Motor Applied to Monitor Electric Vehicle Batteries

et al. 2023

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This article deals with the design of a simple predictive control algorithm applied to a bidirectional DC-DC power converter for the angular speed control of a DC motor. We used the dynamics of a DC motor but mathematically reduced them to arrive at a simple model that is ideal for our purpose, not only to meet the control objective but also to generate reliable data for further analysis. This predictive control approach is based on the discrete time mathematical model of a DC motor. A huge capacitor to emulate an electric vehicle battery was then successfully connected to our experimental platform. Due to the robustness of the proposed control algorithm, the same predictive control scheme provided sufficient information to monitor the battery’s state. On this basis, and due to the system’s efficiency, it was possible to configure a fault detection scheme in our electric car battery emulator using only classical statistical tools. A PIC18F252 microcontroller was used in our experimental platform to implement our predictive control algorithm. It was then appropriately coupled to the power electronics required by the DC-DC converter to drive the DC motor. Our experimental results proved the excellent performance of the control method and also of the health monitoring system. On the other hand, the main difficulty in achieving our main goal was the realization of discrete control, which had to be as simple as possible while maintaining the control objective and while also being capable of generating reliable data for the health monitoring stage. Thus, the primary contribution of this work was the development of the predictive control of the speed of a universal motor, followed by the modification of the experimental design to simulate an electric car battery and the introduction of a novel statistical method for fault detection.

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Section: Introductionmentioning

confidence: 99%

Predictive Speed Control of a DC Universal Motor Applied to Monitor Electric Vehicle Batteries

et al. 2023

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“…For this reason, existing papers often deal with the robust control of speed and position loop with neglected electrical part of the motor [5], [6], [7]. There are also attempts to realize robust current control for PMS motors [8].…”

Section: Introductionmentioning

confidence: 99%

AC induction motor control using robust current controllers

Blaha

Václavek

2011

2011 IEEE Ninth International Conference on Power Electronics and Drive Systems

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In the present work, the robust current controller design for AC induction motor is addressed. It replaces current PI controllers in classical vector control algorithm where the controllers operate in coordinates fixed to rotor flux. AC induction motor parameters are treated as parametric uncertainties. Their mutual dependencies are studied so as to simplify complex AC induction motor state space description and to make the controller design using D-K iteration treatable. Imprecision in decoupling is partially treated. The newly designed controller is compared with the classical vector control algorithm.

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Power electronic converter and system control

Habetler

Harley

2001

Proc. IEEE

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Application of H infinity control to motor speed control system

Cited by 5 publications

References 2 publications

Predictive Speed Control of a DC Universal Motor Applied to Monitor Electric Vehicle Batteries

Predictive Speed Control of a DC Universal Motor Applied to Monitor Electric Vehicle Batteries

AC induction motor control using robust current controllers

Power electronic converter and system control

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