近年來健身車的演進中，多以改良其機構或電氣元件為主，較少概念上的革新，因此，本文提出無機構連結之協力車健身系統，嘗試透過電氣耦合的方式，使無機械相互連結的兩部健身車達成協力車的運轉模式。本文藉由通訊介面連結兩部健身車，並根據健身車騎士的踩踏行為運算出真實協力車的踏板轉速，再透過踏板阻力的調變來控制健身車踏板轉速，使其與真實協力車一致。由於此系統具有許多不確定性，故本文採用具備自我學習能力的模糊類神經控制器進行踏板轉速控制，使控制器更適應此系統。
此外，若以健身車作為體能訓練之器材，為達到有效且穩定的訓練效果，並且避免因過度訓練而造成運動傷害，必須對健身車騎士的踩踏轉矩進行控制，因此，本研究提出踩踏轉矩控制之訓練模式，藉由感測器量測騎士踩踏轉矩後，透過控制器調變踏板阻力以控制騎士踩踏轉矩，進而達成適當的訓練效果。

In order to develop new application of stationary bikes, two innovative operation modes of stationary bikes are proposed in this thesis, which are tandem-bike-like exercise system and pedaling torque control system. For the tandem-bike-like exercise system, CAN bus is used for the electric coupling of two stationary bikes. In order to operate two separate stationary bikes together like real tandem bike, a tandem bike reference model and an online self-learning fuzzy neural network controller are introduced into the system to control the pedaling cadence (revolution speed). Regarding the pedaling torque control system, the pedaling torque of the rider is controlled to follow a given torque command. With the control of pedaling torque, the stationary bike can be used for training muscles in lower limbs. Besides, torque control can prevent the rider from injuries caused by excessive pedaling. In this system, the pedaling torque is detected and a controller is involved in the system to modulate the pedaling resistance so as to adjust the pedaling torque of the rider. According to the experimental results, the aforementioned system operates well as expected.

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