• 제어로봇시스템학회:학술대회논문집
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• 1988.10a
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• pp.315-320
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• 1988

This paper considers modelling and control of ABS(Anti-skid Brake System) which avoids dangerous wheel locking due to excessive brake pressure during the vehicle braking. The brake pressure is controlled by on and off's of solenoid valves via the variation of the wheel circumferential deceleration measured using tacho-sensors. The dynamic model between the brake pressure and the wheel acceleration of a vehicle is mathematically derived. The computer simulation shows that the threshold value of the on-off control is critical to the performance of the ABS.

• Proceedings of the KIEE Conference
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• 2000.07b
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• pp.1140-1142
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• 2000

This paper describes a down-scaled model for a high-speed railway train. The propulsion system of simulator consists of four line-side converters four induction motors driven by two inverters, an eddy current braking system, two dynamic braking systems. The control algorithm of traction and braking including anti-skid control can be developed using the simulator. Simulator design procedure. control algorithm and some experimental waveforms are presented in this paper.

• 제어로봇시스템학회:학술대회논문집
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• 2001.10a
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• pp.162.3-162
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• 2001

The essence of ABS(Anti-skid Brake System) control is to continuously adjust brake pressure to maintain optimum brake torque. This optimum level should balance tire and runway friction its peak value, yielding maximum braking deceleration. It influences not only the deceleration and the taxing distance of an aircraft, but also the strength and the fatigue life of the landing gear. In this paper, an ABS control algorithm is developed with a dynamics model of 5-DOFD(Degree of Freedom). The algorithm is verified by simulations and the simulation results are presented. The dynamics model is simulated by the computer.

• Proceedings of the KIEE Conference
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• 2004.07d
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• pp.2155-2157
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• 2004

본 논문은 항공기용 Brake-By-Wire System 개발을 위한 설계 및 제작 그리고 시험에 관한 내용을 다루고 있다. 개발된 디지털제어기(Digital Control Unit)는 기본적인 제동기능 외에 Anti-skid 기능, Locked Wheel Protection 기능, Touchdown Protection 기능 등을 수행할 수 있다. 기능의 수행검중을 위해 실시간 HILS (Hardware In the Loop Simulation) 시험 및 Dynamometer 시험을 실시하여, 개발된 Brake-By-Wire System의 기능 및 성능을 확인하였다.

• 제어로봇시스템학회:학술대회논문집
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• 1999.10a
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• pp.73-78
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• 1999

This paper presents an effective construction method of adaptive multiple control systems utilizing some knowledge upon the plants. The adaptive multiple control system operates plants un-der widely changing environmental conditions. The adaptive multiple control system is composed of a family of candidate controllers together with a supervisor. The system does not require any identification schemes of environmental conditions. Monitoring outputs of the plant, the supervisor switches from one candidate controller to another, The basic ideas of adaptation are as follows: (1)each candidate controller is prepared for each environmental condition in advance; (2)the supervise. applies a sequence of speculative controls to the plant with candidate controllers just after the start of control or just after the detection of a change in the environmental condition. Each candidate controller can keep the system stable during one-step period of the speculative control and the most appropriate candidate controller for the environmental condition to which the system is exposed can be selected before the last trial of speculative control step comes to an end. We proposed a construction method of adaptive multiple control system without any knowledge of plant dynamics and applied the method to a cart-pole balancing problem and a vehicle anti skid braking system. In real applications, as we can often easily obtain a piece of knowledge upon plant dynamics beforehand, we intend to extend the method such that multiple control systems can be efficiently designed using the knowledge. We apply the new idea to the cart-pole balancing problem with variable length of the pole. The simulation experiments lead us to the conclusion that the new attempt can reduce the manpower to design the candidate controllers for adaptive multiple control systems.